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Business Management Case Study: A Complete Breakdown

Gain a comprehensive understanding of the "Business Management Case Study" as we break down the concept from start to finish. Discover the incredible journeys of companies like Apple Inc., Tesla and Netflix as they navigate innovation, global expansion, and transformation. This detailed analysis will provide insights into the dynamic world of business management.

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Case studies play a pivotal role in understanding real-world challenges, strategies, and outcomes in the ever-evolving field of Business Management. This blog dives into the intricacies of a compelling Business Management Case Study, dissecting its components to extract valuable insights for aspiring managers, entrepreneurs, and students alike. Learn the study behind some of the most significant Business Management Case Studies & how an online business degree can help you learn more in this article. 

Table of Contents

1) What is Business Management? 

2) Case Studies in Business Management 

    a) Apple Inc. Innovation 

    b) Tesla’s EV revolution 

    c) Amazon retailer to e-commerce giant 

    d) McDonald’s global expansion 

    e) Netflix’s transformation 

3) Conclusion 

What is Business Management?  

Business Management refers to the set of activities, strategies, and practices employed to oversee and coordinate an organisation's operations, resources, and personnel to achieve specific goals and objectives. It encompasses a wide range of responsibilities to ensure an organisation's efficient and effective functioning across various functional areas. 

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Case Studies in Business Management  

Here are some of the notable case studies in the field of Business Management that have garnered attention due to their complexity, innovative strategies, and significant impact on their respective industries:  

Apple Inc. innovation  

a) Background: Apple Inc. is a global technology giant noted for its innovative products and design-driven approach. In the early 2000s, Apple faced intense competition and declining market share. The company needed to reinvent itself to remain relevant and competitive. 

b) Problem statement: Apple's challenge was revitalising its product line and regaining market leadership while navigating a rapidly changing technological world. 

c) Analysis of the situation: The Case Study dives into Apple's design thinking and customer-centric innovation to develop products that seamlessly blend form and function. The company's focus on user experience, ecosystem integration, and attention to detail set it apart from its competitors. 

d) Proposed solutions: Apple's strategy involved launching breakthrough products like the iPod, iPhone, and iPad that redefined their respective markets. The company also invested heavily in creating a robust ecosystem through iTunes and the App Store. 

e) Chosen strategy: Apple's commitment to user-centred design and innovation became the cornerstone of its success. The strategy encompassed cutting-edge technology, minimalist design, and exceptional user experience. 

f) Implementation process: Apple's implementation involved rigorous research and development, collaboration among various teams, and meticulous attention to detail. The company also established a loyal customer base through iconic product launches and marketing campaigns. 

g) Results and outcomes: Apple's strategy paid off immensely, leading to a resurgence in its market share, revenue, and brand value. The company's products became cultural touchstones, and its ecosystem approach set new standards for the technology industry. 

Tesla’s EV revolution  

a) Background: Tesla, led by Elon Musk, aimed to disrupt the traditional automotive industry by introducing electric vehicles (EVs) that combined sustainability, performance, and cutting-edge technology. 

b) Problem statement: Tesla faced challenges related to the production, scalability, and market acceptance of electric vehicles in an industry dominated by internal combustion engine vehicles. 

c) Analysis of the situation: This Case Study examines Tesla's unique approach, which combines innovation in electric powertrains, battery technology, and software. The company also adopted a direct-to-consumer sales model, bypassing traditional dealership networks. 

d) Proposed solutions: Tesla's solutions included building a network of Supercharger stations, developing advanced autonomous driving technology, and leveraging over-the-air software updates to improve vehicle performance and features. 

e) Chosen strategy: Tesla focused on high-quality engineering, creating a luxury brand image for EVs, and promoting a community of passionate supporters. The company also bet on long-term sustainability and energy innovation beyond just manufacturing cars. 

f) Implementation process: Tesla faced production challenges, supply chain issues, and scepticism from traditional automakers. The company's determination to continuously refine its vehicles and technology resulted in incremental improvements and increased consumer interest. 

g) Results and outcomes: Tesla's innovative approach catapulted it into the forefront of the EV market. The Model S, Model 3, Model X, and Model Y gained popularity for their performance, range, and technology. Tesla's market capitalisation surged, and the company played a significant part in changing the perception of electric vehicles. 

Amazon retailer to e-commerce giant  

a) Background: Amazon started as an online bookstore in the 1990s and quickly expanded its offerings to become the world's largest online retailer. However, its journey was riddled with challenges and risks. 

b) Problem statement: Amazon faced difficulties in achieving profitability due to its aggressive expansion, heavy investments, and price competition. The company needed to find a way to sustain its growth and solidify its position in the e-commerce market. 

c) Analysis of the situation: This Case Study explores Amazon's unique business model, which prioritises customer satisfaction, convenience, and diversification. The company continuously experimented with new ideas, services, and technologies. 

d) Proposed solutions: Amazon's solutions included the introduction of Amazon Prime, the Kindle e-reader, and the development of its third-party seller marketplace. These initiatives aimed to enhance customer loyalty, expand product offerings, and increase revenue streams. 

e) Chosen strategy: Amazon's strategy revolved around long-term thinking, customer obsession, and a willingness to invest heavily in innovation and infrastructure, even at the expense of short-term profits. 

f) Implementation process: Amazon's implementation involved building a vast network of fulfilment centres, investing in advanced technology for logistics and supply chain management, and expanding its services beyond e-commerce into cloud computing (Amazon Web Services) and entertainment (Amazon Prime Video). 

g) Results and outcomes: Amazon's strategy paid off as it transformed from an online bookstore to an e-commerce behemoth. The company not only achieved profitability but also diversified into various sectors, making Jeff Bezos the richest person in the world for a time. 

McDonald’s global expansion  

a) Background: McDonald's is one of the world's largest and most recognisable fast-food chains. The Case Study focuses on the company's global expansion strategy and challenges in adapting to diverse cultural preferences and market conditions. 

b) Problem statement: McDonald's challenge was maintaining its brand identity while tailoring its menu offerings and marketing strategies to suit different countries' preferences and cultural norms. 

c) Analysis: The Case Study analyses McDonald's localisation efforts, menu adaptations, and marketing campaigns in different countries. It explores how the company balances standardisation with customisation to appeal to local tastes. 

d) Solutions and outcomes: McDonald's successfully combines global branding with localized strategies, resulting in sustained growth and customer loyalty in various markets. The Case Study demonstrates the importance of understanding cultural nuances in international business. 

Netflix’s evolution  

a) Background: Netflix started as a DVD rental-by-mail service and became a leading global streaming platform. The Case Study explores Netflix's strategic evolution, content production, and influence on the entertainment industry. 

b) Problem statement: Netflix's challenge was transitioning from a traditional DVD rental business to a digital streaming service while competing with established cable networks and other streaming platforms. 

c) Analysis: The Case Study analyses Netflix's shift to online streaming, its investment in original content production, and its use of data analytics to personalise user experiences and content recommendations. 

d) Solutions and outcomes: Netflix's strategic pivot and focus on content quality and user experience contributed to its dominance in the streaming market. The Case Study illustrates how embracing digital disruption and customer-centric strategies can drive success.  

Conclusion  

These case studies offer valuable insights into different facets of Business Management, including innovation, strategic decision-making, customer-centric approaches, and market disruption. Analysing these cases provides aspiring managers and entrepreneurs with real-world examples of how effective strategies, risk-taking, and adaptability can lead to remarkable success in the dynamic business world. 

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• Case Studies

Case Study Basics

What is a case study *.

A case study is a snapshot of an organization or an industry wrestling with a dilemma, written to serve a set of pedagogical objectives. Whether raw or cooked , what distinguishes a pedagogical case study from other writing is that it centers on one or more dilemmas. Rather than take in information passively, a case study invites readers to engage the material in the case to solve the problems presented. Whatever the case structure, the best classroom cases all have these attributes: (1)The case discusses issues that allow for a number of different courses of action – the issues discussed are not “no-brainers,” (2) the case makes the management issues as compelling as possible by providing rich background and detail, and (3) the case invites the creative use of analytical management tools.

Case studies are immensely useful as teaching tools and sources of research ideas. They build a reservoir of subject knowledge and help students develop analytical skills. For the faculty, cases provide unparalleled insights into the continually evolving world of management and may inspire further theoretical inquiry.

There are many case formats. A traditional case study presents a management issue or issues calling for resolution and action. It generally breaks off at a decision point with the manager weighing a number of different options. It puts the student in the decision-maker’s shoes and allows the student to understand the stakes involved. In other instances, a case study is more of a forensic exercise. The operations and history of a company or an industry will be presented without reference to a specific dilemma. The instructor will then ask students to comment on how the organization operates, to look for the key success factors, critical relationships, and underlying sources of value. A written case will pre-package appropriate material for students, while an online case may provide a wider variety of topics in a less linear manner.

Choosing Participants for a Case Study

Many organizations cooperate in case studies out of a desire to contribute to management education. They understand the need for management school professors and students to keep current with practice.

Organizations also cooperate in order to gain exposure in management school classrooms. The increased visibility and knowledge about an organization’s operations and culture can lead to subsidiary benefits such as improved recruiting.

Finally, organizations participate because reading a case about their operations and decision making written by a neutral observer can generate useful insights. A case study preserves a moment in time and chronicles an otherwise hidden history. Managers who visit the classroom to view the case discussion generally find the experience invigorating.

The Final Product

Cases are usually written as narratives that take the reader through the events leading to the decision point, including relevant information on the historical, competitive, legal, technical, and political environment facing the organization. A written case study generally runs from 5,000 to 10,000 words of text supplemented with numerous pages of data exhibits. An online raw case may have less original text, but will require students to extract information from multiple original documents, videos of company leaders discussing the challenges, photographs, and links to articles and websites.

The first time a case is taught represents something of a test run. As students react to the material, plan to revise the case to include additional information or to delete data that does not appear useful. If the organization’s managers attend the class, their responses to student comments and questions may suggest some case revisions as well.

The sponsoring professor will generally write a “teaching note” to give other instructors advice on how to structure classroom discussion and useful bits of analysis that can be included to explicate the issues highlighted in the case study.

Finally, one case may inspire another. Either during the case writing process or after a case is done, a second “B” case might be useful to write that outlines what the organization did or that outlines new challenges faced by the organization after the timeframe of the initial case study.

* Portions of this note are adapted from E. Raymond Corey, “Writing Cases and Teaching Notes,” Harvard Business School case 399-077, with updates to reflect Yale School of Management practices for traditional and raw cases.

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5 Benefits of Learning Through the Case Study Method

• 28 Nov 2023

While several factors make HBS Online unique —including a global Community and real-world outcomes —active learning through the case study method rises to the top.

In a 2023 City Square Associates survey, 74 percent of HBS Online learners who also took a course from another provider said HBS Online’s case method and real-world examples were better by comparison.

Here’s a primer on the case method, five benefits you could gain, and how to experience it for yourself.

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What Is the Harvard Business School Case Study Method?

The case study method , or case method , is a learning technique in which you’re presented with a real-world business challenge and asked how you’d solve it. After working through it yourself and with peers, you’re told how the scenario played out.

HBS pioneered the case method in 1922. Shortly before, in 1921, the first case was written.

“How do you go into an ambiguous situation and get to the bottom of it?” says HBS Professor Jan Rivkin, former senior associate dean and chair of HBS's master of business administration (MBA) program, in a video about the case method . “That skill—the skill of figuring out a course of inquiry to choose a course of action—that skill is as relevant today as it was in 1921.”

Originally developed for the in-person MBA classroom, HBS Online adapted the case method into an engaging, interactive online learning experience in 2014.

In HBS Online courses , you learn about each case from the business professional who experienced it. After reviewing their videos, you’re prompted to take their perspective and explain how you’d handle their situation.

You then get to read peers’ responses, “star” them, and comment to further the discussion. Afterward, you learn how the professional handled it and their key takeaways.

HBS Online’s adaptation of the case method incorporates the famed HBS “cold call,” in which you’re called on at random to make a decision without time to prepare.

“Learning came to life!” said Sheneka Balogun , chief administration officer and chief of staff at LeMoyne-Owen College, of her experience taking the Credential of Readiness (CORe) program . “The videos from the professors, the interactive cold calls where you were randomly selected to participate, and the case studies that enhanced and often captured the essence of objectives and learning goals were all embedded in each module. This made learning fun, engaging, and student-friendly.”

If you’re considering taking a course that leverages the case study method, here are five benefits you could experience.

5 Benefits of Learning Through Case Studies

1. take new perspectives.

The case method prompts you to consider a scenario from another person’s perspective. To work through the situation and come up with a solution, you must consider their circumstances, limitations, risk tolerance, stakeholders, resources, and potential consequences to assess how to respond.

Taking on new perspectives not only can help you navigate your own challenges but also others’. Putting yourself in someone else’s situation to understand their motivations and needs can go a long way when collaborating with stakeholders.

2. Hone Your Decision-Making Skills

Another skill you can build is the ability to make decisions effectively . The case study method forces you to use limited information to decide how to handle a problem—just like in the real world.

Throughout your career, you’ll need to make difficult decisions with incomplete or imperfect information—and sometimes, you won’t feel qualified to do so. Learning through the case method allows you to practice this skill in a low-stakes environment. When facing a real challenge, you’ll be better prepared to think quickly, collaborate with others, and present and defend your solution.

3. Become More Open-Minded

As you collaborate with peers on responses, it becomes clear that not everyone solves problems the same way. Exposing yourself to various approaches and perspectives can help you become a more open-minded professional.

When you’re part of a diverse group of learners from around the world, your experiences, cultures, and backgrounds contribute to a range of opinions on each case.

On the HBS Online course platform, you’re prompted to view and comment on others’ responses, and discussion is encouraged. This practice of considering others’ perspectives can make you more receptive in your career.

“You’d be surprised at how much you can learn from your peers,” said Ratnaditya Jonnalagadda , a software engineer who took CORe.

In addition to interacting with peers in the course platform, Jonnalagadda was part of the HBS Online Community , where he networked with other professionals and continued discussions sparked by course content.

“You get to understand your peers better, and students share examples of businesses implementing a concept from a module you just learned,” Jonnalagadda said. “It’s a very good way to cement the concepts in one's mind.”

4. Enhance Your Curiosity

One byproduct of taking on different perspectives is that it enables you to picture yourself in various roles, industries, and business functions.

“Each case offers an opportunity for students to see what resonates with them, what excites them, what bores them, which role they could imagine inhabiting in their careers,” says former HBS Dean Nitin Nohria in the Harvard Business Review . “Cases stimulate curiosity about the range of opportunities in the world and the many ways that students can make a difference as leaders.”

Through the case method, you can “try on” roles you may not have considered and feel more prepared to change or advance your career .

5. Build Your Self-Confidence

Finally, learning through the case study method can build your confidence. Each time you assume a business leader’s perspective, aim to solve a new challenge, and express and defend your opinions and decisions to peers, you prepare to do the same in your career.

According to a 2022 City Square Associates survey , 84 percent of HBS Online learners report feeling more confident making business decisions after taking a course.

“Self-confidence is difficult to teach or coach, but the case study method seems to instill it in people,” Nohria says in the Harvard Business Review . “There may well be other ways of learning these meta-skills, such as the repeated experience gained through practice or guidance from a gifted coach. However, under the direction of a masterful teacher, the case method can engage students and help them develop powerful meta-skills like no other form of teaching.”

How to Experience the Case Study Method

If the case method seems like a good fit for your learning style, experience it for yourself by taking an HBS Online course. Offerings span seven subject areas, including:

• Business essentials
• Leadership and management
• Entrepreneurship and innovation
• Finance and accounting
• Business in society

No matter which course or credential program you choose, you’ll examine case studies from real business professionals, work through their challenges alongside peers, and gain valuable insights to apply to your career.

Are you interested in discovering how HBS Online can help advance your career? Explore our course catalog and download our free guide —complete with interactive workbook sections—to determine if online learning is right for you and which course to take.

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What the Case Study Method Really Teaches

• Nitin Nohria

Seven meta-skills that stick even if the cases fade from memory.

It’s been 100 years since Harvard Business School began using the case study method. Beyond teaching specific subject matter, the case study method excels in instilling meta-skills in students. This article explains the importance of seven such skills: preparation, discernment, bias recognition, judgement, collaboration, curiosity, and self-confidence.

During my decade as dean of Harvard Business School, I spent hundreds of hours talking with our alumni. To enliven these conversations, I relied on a favorite question: “What was the most important thing you learned from your time in our MBA program?”

• Nitin Nohria is the George F. Baker Professor of Business Administration, Distinguished University Service Professor, and former dean of Harvard Business School.

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How to write a case study — examples, templates, and tools

It’s a marketer’s job to communicate the effectiveness of a product or service to potential and current customers to convince them to buy and keep business moving. One of the best methods for doing this is to share success stories that are relatable to prospects and customers based on their pain points, experiences, and overall needs.

That’s where case studies come in. Case studies are an essential part of a content marketing plan. These in-depth stories of customer experiences are some of the most effective at demonstrating the value of a product or service. Yet many marketers don’t use them, whether because of their regimented formats or the process of customer involvement and approval.

A case study is a powerful tool for showcasing your hard work and the success your customer achieved. But writing a great case study can be difficult if you’ve never done it before or if it’s been a while. This guide will show you how to write an effective case study and provide real-world examples and templates that will keep readers engaged and support your business.

In this article, you’ll learn:

What is a case study?

How to write a case study, case study templates, case study examples, case study tools.

A case study is the detailed story of a customer’s experience with a product or service that demonstrates their success and often includes measurable outcomes. Case studies are used in a range of fields and for various reasons, from business to academic research. They’re especially impactful in marketing as brands work to convince and convert consumers with relatable, real-world stories of actual customer experiences.

The best case studies tell the story of a customer’s success, including the steps they took, the results they achieved, and the support they received from a brand along the way. To write a great case study, you need to:

• Celebrate the customer and make them — not a product or service — the star of the story.
• Craft the story with specific audiences or target segments in mind so that the story of one customer will be viewed as relatable and actionable for another customer.
• Write copy that is easy to read and engaging so that readers will gain the insights and messages intended.
• Follow a standardized format that includes all of the essentials a potential customer would find interesting and useful.
• Support all of the claims for success made in the story with data in the forms of hard numbers and customer statements.

Case studies are a type of review but more in depth, aiming to show — rather than just tell — the positive experiences that customers have with a brand. Notably, 89% of consumers read reviews before deciding to buy, and 79% view case study content as part of their purchasing process. When it comes to B2B sales, 52% of buyers rank case studies as an important part of their evaluation process.

Telling a brand story through the experience of a tried-and-true customer matters. The story is relatable to potential new customers as they imagine themselves in the shoes of the company or individual featured in the case study. Showcasing previous customers can help new ones see themselves engaging with your brand in the ways that are most meaningful to them.

Besides sharing the perspective of another customer, case studies stand out from other content marketing forms because they are based on evidence. Whether pulling from client testimonials or data-driven results, case studies tend to have more impact on new business because the story contains information that is both objective (data) and subjective (customer experience) — and the brand doesn’t sound too self-promotional.

Case studies are unique in that there’s a fairly standardized format for telling a customer’s story. But that doesn’t mean there isn’t room for creativity. It’s all about making sure that teams are clear on the goals for the case study — along with strategies for supporting content and channels — and understanding how the story fits within the framework of the company’s overall marketing goals.

Here are the basic steps to writing a good case study.

1. Identify your goal

Start by defining exactly who your case study will be designed to help. Case studies are about specific instances where a company works with a customer to achieve a goal. Identify which customers are likely to have these goals, as well as other needs the story should cover to appeal to them.

The answer is often found in one of the buyer personas that have been constructed as part of your larger marketing strategy. This can include anything from new leads generated by the marketing team to long-term customers that are being pressed for cross-sell opportunities. In all of these cases, demonstrating value through a relatable customer success story can be part of the solution to conversion.

2. Choose your client or subject

Who you highlight matters. Case studies tie brands together that might otherwise not cross paths. A writer will want to ensure that the highlighted customer aligns with their own company’s brand identity and offerings. Look for a customer with positive name recognition who has had great success with a product or service and is willing to be an advocate.

The client should also match up with the identified target audience. Whichever company or individual is selected should be a reflection of other potential customers who can see themselves in similar circumstances, having the same problems and possible solutions.

Some of the most compelling case studies feature customers who:

• Switch from one product or service to another while naming competitors that missed the mark.
• Experience measurable results that are relatable to others in a specific industry.
• Represent well-known brands and recognizable names that are likely to compel action.
• Advocate for a product or service as a champion and are well-versed in its advantages.

Whoever or whatever customer is selected, marketers must ensure they have the permission of the company involved before getting started. Some brands have strict review and approval procedures for any official marketing or promotional materials that include their name. Acquiring those approvals in advance will prevent any miscommunication or wasted effort if there is an issue with their legal or compliance teams.

3. Conduct research and compile data

Substantiating the claims made in a case study — either by the marketing team or customers themselves — adds validity to the story. To do this, include data and feedback from the client that defines what success looks like. This can be anything from demonstrating return on investment (ROI) to a specific metric the customer was striving to improve. Case studies should prove how an outcome was achieved and show tangible results that indicate to the customer that your solution is the right one.

This step could also include customer interviews. Make sure that the people being interviewed are key stakeholders in the purchase decision or deployment and use of the product or service that is being highlighted. Content writers should work off a set list of questions prepared in advance. It can be helpful to share these with the interviewees beforehand so they have time to consider and craft their responses. One of the best interview tactics to keep in mind is to ask questions where yes and no are not natural answers. This way, your subject will provide more open-ended responses that produce more meaningful content.

4. Choose the right format

There are a number of different ways to format a case study. Depending on what you hope to achieve, one style will be better than another. However, there are some common elements to include, such as:

• An engaging headline
• A subject and customer introduction
• The unique challenge or challenges the customer faced
• The solution the customer used to solve the problem
• The results achieved
• Data and statistics to back up claims of success
• A strong call to action (CTA) to engage with the vendor

It’s also important to note that while case studies are traditionally written as stories, they don’t have to be in a written format. Some companies choose to get more creative with their case studies and produce multimedia content, depending on their audience and objectives. Case study formats can include traditional print stories, interactive web or social content, data-heavy infographics, professionally shot videos, podcasts, and more.

5. Write your case study

We’ll go into more detail later about how exactly to write a case study, including templates and examples. Generally speaking, though, there are a few things to keep in mind when writing your case study.

• Be clear and concise. Readers want to get to the point of the story quickly and easily, and they’ll be looking to see themselves reflected in the story right from the start.
• Provide a big picture. Always make sure to explain who the client is, their goals, and how they achieved success in a short introduction to engage the reader.
• Construct a clear narrative. Stick to the story from the perspective of the customer and what they needed to solve instead of just listing product features or benefits.
• Leverage graphics. Incorporating infographics, charts, and sidebars can be a more engaging and eye-catching way to share key statistics and data in readable ways.
• Offer the right amount of detail. Most case studies are one or two pages with clear sections that a reader can skim to find the information most important to them.
• Include data to support claims. Show real results — both facts and figures and customer quotes — to demonstrate credibility and prove the solution works.

6. Promote your story

Marketers have a number of options for distribution of a freshly minted case study. Many brands choose to publish case studies on their website and post them on social media. This can help support SEO and organic content strategies while also boosting company credibility and trust as visitors see that other businesses have used the product or service.

Marketers are always looking for quality content they can use for lead generation. Consider offering a case study as gated content behind a form on a landing page or as an offer in an email message. One great way to do this is to summarize the content and tease the full story available for download after the user takes an action.

Sales teams can also leverage case studies, so be sure they are aware that the assets exist once they’re published. Especially when it comes to larger B2B sales, companies often ask for examples of similar customer challenges that have been solved.

Now that you’ve learned a bit about case studies and what they should include, you may be wondering how to start creating great customer story content. Here are a couple of templates you can use to structure your case study.

Template 1 — Challenge-solution-result format

• Start with an engaging title. This should be fewer than 70 characters long for SEO best practices. One of the best ways to approach the title is to include the customer’s name and a hint at the challenge they overcame in the end.
• Create an introduction. Lead with an explanation as to who the customer is, the need they had, and the opportunity they found with a specific product or solution. Writers can also suggest the success the customer experienced with the solution they chose.
• Present the challenge. This should be several paragraphs long and explain the problem the customer faced and the issues they were trying to solve. Details should tie into the company’s products and services naturally. This section needs to be the most relatable to the reader so they can picture themselves in a similar situation.
• Share the solution. Explain which product or service offered was the ideal fit for the customer and why. Feel free to delve into their experience setting up, purchasing, and onboarding the solution.
• Explain the results. Demonstrate the impact of the solution they chose by backing up their positive experience with data. Fill in with customer quotes and tangible, measurable results that show the effect of their choice.
• Ask for action. Include a CTA at the end of the case study that invites readers to reach out for more information, try a demo, or learn more — to nurture them further in the marketing pipeline. What you ask of the reader should tie directly into the goals that were established for the case study in the first place.

Template 2 — Data-driven format

• Start with an engaging title. Be sure to include a statistic or data point in the first 70 characters. Again, it’s best to include the customer’s name as part of the title.
• Create an overview. Share the customer’s background and a short version of the challenge they faced. Present the reason a particular product or service was chosen, and feel free to include quotes from the customer about their selection process.
• Present data point 1. Isolate the first metric that the customer used to define success and explain how the product or solution helped to achieve this goal. Provide data points and quotes to substantiate the claim that success was achieved.
• Present data point 2. Isolate the second metric that the customer used to define success and explain what the product or solution did to achieve this goal. Provide data points and quotes to substantiate the claim that success was achieved.
• Present data point 3. Isolate the final metric that the customer used to define success and explain what the product or solution did to achieve this goal. Provide data points and quotes to substantiate the claim that success was achieved.
• Summarize the results. Reiterate the fact that the customer was able to achieve success thanks to a specific product or service. Include quotes and statements that reflect customer satisfaction and suggest they plan to continue using the solution.
• Ask for action. Include a CTA at the end of the case study that asks readers to reach out for more information, try a demo, or learn more — to further nurture them in the marketing pipeline. Again, remember that this is where marketers can look to convert their content into action with the customer.

While templates are helpful, seeing a case study in action can also be a great way to learn. Here are some examples of how Adobe customers have experienced success.

Juniper Networks

One example is the Adobe and Juniper Networks case study , which puts the reader in the customer’s shoes. The beginning of the story quickly orients the reader so that they know exactly who the article is about and what they were trying to achieve. Solutions are outlined in a way that shows Adobe Experience Manager is the best choice and a natural fit for the customer. Along the way, quotes from the client are incorporated to help add validity to the statements. The results in the case study are conveyed with clear evidence of scale and volume using tangible data.

The story of Lenovo’s journey with Adobe is one that spans years of planning, implementation, and rollout. The Lenovo case study does a great job of consolidating all of this into a relatable journey that other enterprise organizations can see themselves taking, despite the project size. This case study also features descriptive headers and compelling visual elements that engage the reader and strengthen the content.

Tata Consulting

When it comes to using data to show customer results, this case study does an excellent job of conveying details and numbers in an easy-to-digest manner. Bullet points at the start break up the content while also helping the reader understand exactly what the case study will be about. Tata Consulting used Adobe to deliver elevated, engaging content experiences for a large telecommunications client of its own — an objective that’s relatable for a lot of companies.

Case studies are a vital tool for any marketing team as they enable you to demonstrate the value of your company’s products and services to others. They help marketers do their job and add credibility to a brand trying to promote its solutions by using the experiences and stories of real customers.

When you’re ready to get started with a case study:

• Think about a few goals you’d like to accomplish with your content.
• Make a list of successful clients that would be strong candidates for a case study.
• Reach out to the client to get their approval and conduct an interview.
• Gather the data to present an engaging and effective customer story.

Adobe can help

There are several Adobe products that can help you craft compelling case studies. Adobe Experience Platform helps you collect data and deliver great customer experiences across every channel. Once you’ve created your case studies, Experience Platform will help you deliver the right information to the right customer at the right time for maximum impact.

To learn more, watch the Adobe Experience Platform story .

Keep in mind that the best case studies are backed by data. That’s where Adobe Real-Time Customer Data Platform and Adobe Analytics come into play. With Real-Time CDP, you can gather the data you need to build a great case study and target specific customers to deliver the content to the right audience at the perfect moment.

Watch the Real-Time CDP overview video to learn more.

Finally, Adobe Analytics turns real-time data into real-time insights. It helps your business collect and synthesize data from multiple platforms to make more informed decisions and create the best case study possible.

Request a demo to learn more about Adobe Analytics.

https://business.adobe.com/blog/perspectives/b2b-ecommerce-10-case-studies-inspire-you

https://business.adobe.com/blog/basics/business-case

https://business.adobe.com/blog/basics/what-is-real-time-analytics

What is the Case Study Method?

Overview Dropdown up

Overview dropdown down, celebrating 100 years of the case method at hbs.

The 2021-2022 academic year marks the 100-year anniversary of the introduction of the case method at Harvard Business School. Today, the HBS case method is employed in the HBS MBA program, in Executive Education programs, and in dozens of other business schools around the world. As Dean Srikant Datar's says, the case method has withstood the test of time.

Case Discussion Preparation Details Expand All Collapse All

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How Cases Unfold In the Classroom

How cases unfold in the classroom dropdown up, how cases unfold in the classroom dropdown down, preparation guidelines expand all collapse all, read the professor's assignment or discussion questions read the professor's assignment or discussion questions dropdown down, read the first few paragraphs and then skim the case read the first few paragraphs and then skim the case dropdown down, reread the case, underline text, and make margin notes reread the case, underline text, and make margin notes dropdown down, note the key problems on a pad of paper and go through the case again note the key problems on a pad of paper and go through the case again dropdown down, how to prepare for case discussions dropdown up, how to prepare for case discussions dropdown down, read the professor's assignment or discussion questions, read the first few paragraphs and then skim the case, reread the case, underline text, and make margin notes, note the key problems on a pad of paper and go through the case again, case study best practices expand all collapse all, prepare prepare dropdown down, discuss discuss dropdown down, participate participate dropdown down, relate relate dropdown down, apply apply dropdown down, note note dropdown down, understand understand dropdown down, case study best practices dropdown up, case study best practices dropdown down, participate, what can i expect on the first day dropdown down.

Most programs begin with registration, followed by an opening session and a dinner. If your travel plans necessitate late arrival, please be sure to notify us so that alternate registration arrangements can be made for you. Please note the following about registration:

HBS campus programs – Registration takes place in the Chao Center.

India programs – Registration takes place outside the classroom.

Other off-campus programs – Registration takes place in the designated facility.

What happens in class if nobody talks? Dropdown down

Professors are here to push everyone to learn, but not to embarrass anyone. If the class is quiet, they'll often ask a participant with experience in the industry in which the case is set to speak first. This is done well in advance so that person can come to class prepared to share. Trust the process. The more open you are, the more willing you’ll be to engage, and the more alive the classroom will become.

Does everyone take part in "role-playing"? Dropdown down

Professors often encourage participants to take opposing sides and then debate the issues, often taking the perspective of the case protagonists or key decision makers in the case.

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• The beginner’s guide to writing an effe ...

The beginner’s guide to writing an effective business case

Nearly every project needs to be approved—whether that means getting the simple go-ahead from your team or gaining the support of an executive stakeholder. You may be familiar with using a project plan or project charter to propose a new initiative and get the green light for a project. But if your proposed project represents a significant business investment, you may need to build a business case.

If you’ve never written a business case, we’re here to help. With a few resources and a little planning, you can write a business case that will help you get the resources and support you need to manage a successful project.

What is a business case?

A business case is a document that explains the value or benefits your company will gain if you pursue a significant business investment or initiative. This initiative can be anything from the messaging for a new product or feature launch, a proposal to increase spend on a current initiative, or a significant investment with a new agency or contractor—to name a few. A compelling business case will outline the expected benefits of this significant investment decision. Key stakeholders will use the business case you provide to determine whether or not to move forward with an initiative.

If you’ve never created a business case, it may sound similar to other early project planning documentation. Here’s how it stacks up:

The difference between a business case and business plan

A  business case  is a proposal for a new strategy or large initiative. It should outline the business needs and benefits your company will receive from pursuing this opportunity.

A  business plan , on the other hand, is an outline for a totally new business. Typically, you’d draft a business plan to map out your business strategy, your mission and vision statements, and how you’re planning on getting there. There may be a case where you create a business plan for an already-existing business, but you’d only do so if you’re trying to take your business in a significantly new direction.

Business case vs. executive summary

Business case vs. project charter.

If you need to create an elevator pitch for your project but you don’t quite need the full business case treatment, you might need a project charter. Much like a business case, a project charter outlines key details of an initiative. Specifically, a project charter will cover three main elements of your project: project objectives, project scope, and key project stakeholders. Your management team will then use the project charter to approve further project development.

Do you need a business case?

Not every project needs a business case—or even a project charter. Plan to build a business case only for initiatives or investments that will require significant business resources. If you’re working on a smaller initiative, consider creating a project charter to pitch your project idea to relevant stakeholders.

Even if you don’t need to pitch your project to any stakeholders, you should be ready to answer basic questions about your proposed project, like:

What is this project’s purpose?

Why are we working on this project?

How does this project connect to organizational goals and objectives?

Which metrics will we use to measure the success of the project ?

Who is working on this project?

When is this project going to be completed?

5 steps for creating and pitching a business case

Your business case shouldn’t just include key facts and figures—it should also tell a story of why pursuing a particular investment or initiative is a good idea for your business. When in doubt, avoid jargon and be brief—but always focus on communicating the value of the project. If this is your first time creating a business case, don’t worry. Follow these five steps to create a solid one.

1. Gather input

You don’t have to write a business case on your own. Instead, make sure appropriate team members and stakeholders are contributing to the relevant sections. For example, the IT team should be involved in any tooling and timeline decisions, while the finance team should review any budget and risk management sections. If you’re creating a business case to propose a new initiative, product line, or customer persona, make sure you also consult subject matter experts.

2. Plan to write your business case out of order

Some of the first things that appear in your business case—like your executive summary—should actually be drafted last, when you have all of the resources and information to make an informed suggestion. Your executive summary will present all of your findings and make a recommendation for the business based on a variety of factors. By gathering all of those details first—like project purpose, financial information, and project risk—you can ensure your executive summary has all of the relevant information.

3. Build your business case incrementally

A business case describes a significant investment for your company. Similarly, simply writing a business case is a significant investment of your time. Not every initiative is right for your business—so make sure you’re checking your work with stakeholders as you go. You don’t want to sink hours and weeks into this document only for it to be rejected by executive stakeholders right off the bat.

Consider doing a “soft launch” with an outline of your business case to your project sponsor or an executive stakeholder you have a good relationship with to confirm this initiative is something you should pursue. Then, as you build the different sections of your business case, check back in with your key stakeholders to confirm there are no deal-breakers.

4. Refine the document

As you create sections of your business case, you may need to go back and refine other sections. For example, once you’ve finished doing a cost-benefit analysis with your financial team, make sure you update any budget-related project risks.

Before presenting your business case, do a final read through with key stakeholders to look for any sections that can be further refined. At this stage, you’ll also want to write the executive summary that goes at the top of the document. Depending on the length of your business case, your executive summary should be one to two pages long.

5. Present the business case

The final step is to actually present your business case. Start with a quick elevator pitch that answers the what, why, and how of your proposal. Think of this presentation as your chance to explain the current business need, how your proposal addresses the need, and what the business benefits are. Make sure to address any risks or concerns you think your audience would have.

Don’t go through your business case page by page. Instead, share the document with stakeholders before the presentation so they have a chance to read through it ahead of time. Then, after your presentation, share the document again so stakeholders can dig into details.

A business case checklist

Start with the why.

The first section of the business case is your chance to make a compelling argument about the new project. Make sure you draft an argument that appeals to your audience’s interests and needs. Despite being the first section in your business case, this should be the last section you write. In addition to including the  traditional elements of an executive summary , make sure you answer:

What business problem is your project solving?  This is your chance to explain why your project is important and why executive stakeholders should consider pursuing this opportunity.

What is your business objective ?  What happens at the end of a successful project? How will you measure success—and what does a successful project mean for your business?

How does this business case fit into your overall company business strategy plan?  Make sure your proposed business case is connected to important  company goals . The initiative proposed in your business case should move the needle towards your company's  vision statement .

Outline financials and the return on investment

At this point in your business case, you should outline the project finance fundamentals. Don’t expect to create this section on your own—you should draft this in partnership with your company’s finance team. In particular, this section should answer:

How much will this project cost?  Even if the initiative is completely new to your company, do some research to estimate the project costs.

What does each individual component of the project cost?  In addition to estimating the total overall cost, break down the different project costs. For example, you might have project costs for new tools and resources, competitive intelligence resourcing, agency costs, etc.

What is the expected return on investment (ROI)?  You’ve talked about the costs—now talk about how your company will benefit from this initiative. Make sure to explain how you calculated the ROI, too.

How will this project impact cash flow?  Cash flow is the amount of money being transferred into and out of your business. Significant investments are going to cost a lot of money, so they’ll negatively impact cash flow—but you should also expect a high ROI, which will positively impact cash flow.

What is the sensitivity analysis?  Sensitivity analysis is a summary of how uncertain your numbers are. There will be a variety of variables that impact your business case. Make sure to explain what those variables are, and how that could impact your projections.

Preview project details

Your business case is proposing a new initiative. In addition to the financial risks, take some time to preview project details. For example, your business case should include:

Your  project objectives  and  key project deliverables .  What will happen at the end of the project? What are you expecting to create or deliver once the project is over?

Your  project plan .  A project plan is a blueprint of the key elements your team needs to accomplish in order to successfully achieve your project goals.

The  project scope .  What are the boundaries of your project? What exact goals, deliverables, and deadlines will you be working towards?

A list of relevant  project stakeholders .  Who are the important project stakeholders and key decision makers for this work? This can include the members of the project team that would be working on this initiative, executive stakeholders who would sponsor the project, and any external stakeholders who might be involved.

A general  project roadmap  in a Gantt-chart like view.  At this stage in the process, you don’t need to provide a detailed project timeline, but you should outline a general sense of when each project stage will happen in relation to the others. To do this, create a project roadmap in  Gantt-chart like software . Make sure to include any important  project milestones  in your roadmap as well.

Any important project dependencies.  Is there anything that would get in the way of this project getting started? Does this work rely on any other work that’s currently in flight?

Discuss project risks

Once you’ve outlined the financial impact and important project details, make sure you include any potential project risks. If you haven’t already, create a  project risk management plan  for your business case. Project risk management isn’t the process of eliminating risk—instead, it’s about identifying, analyzing, and proactively responding to any potential project risks. Clearly defining each project risk and how that risk might impact your project can best equip you and the project team to manage and avoid those risks.

In the risk section of your business case, include:

A risk analysis of any potential project risks.  What is the risk? How likely is it to happen? What is the priority level of this risk?

What, if any, assumptions you are making.  In project risk management, assumptions are anything you think will be true about the project, without those details being guaranteed facts. Basing project decisions around an assumption can open your project up to risk. Make sure you ratify every project assumption to avoid jeopardizing project success.

Any comparable alternatives in the market.  If you’re writing a business case to pitch a new product or angle in the market, evaluate anything that already exists. Could the alternative impact your financial assessment or project success?

Develop an action plan

In the final section of your business case, outline how you will turn this business case into an actionable project. This section should answer questions like:

How will decisions be made?  Who is responsible for the project? Who is the project sponsor? If you haven’t already, consider creating a  RACI chart  to outline project responsibilities.

How will progress be measured and reported?  Not every project stakeholder needs to be notified of every project change. Outline key parts of your project communication plan , as well as how you’ll communicate  project status updates .

What is the next course of action?  If the management team ratifies this business case, what next steps will you take to put this into action?

Bring your business case to life

You’ve built a solid business case and it’s been ratified—congratulations! The next step is to bring your business case to life. It can be intimidating to  initiate large-scale change , and implementing your business case is no exception.

If you haven’t already, make sure you have a  project management tool  in place to manage and organize your new initiative. With a central source of truth to track who’s doing what by when, share status updates, and keep project stakeholders in the loop, you can turn a great business case into a successful project.

Related resources

How to use a feasibility study in project management

How to track utilization rate and drive team profitability

How to accomplish big things with long-term goals

Smooth product launches are simpler than you think

7 Favorite Business Case Studies to Teach—and Why

Explore more.

• Case Teaching
• Course Materials

FEATURED CASE STUDIES

The Army Crew Team . Emily Michelle David of CEIBS

ATH Technologies . Devin Shanthikumar of Paul Merage School of Business

Fabritek 1992 . Rob Austin of Ivey Business School

Lincoln Electric Co . Karin Schnarr of Wilfrid Laurier University

Pal’s Sudden Service—Scaling an Organizational Model to Drive Growth . Gary Pisano of Harvard Business School

The United States Air Force: ‘Chaos’ in the 99th Reconnaissance Squadron . Francesca Gino of Harvard Business School

Warren E. Buffett, 2015 . Robert F. Bruner of Darden School of Business

To dig into what makes a compelling case study, we asked seven experienced educators who teach with—and many who write—business case studies: “What is your favorite case to teach and why?”

The resulting list of case study favorites ranges in topics from operations management and organizational structure to rebel leaders and whodunnit dramas.

1. The Army Crew Team

Emily Michelle David, Assistant Professor of Management, China Europe International Business School (CEIBS)

“I love teaching  The Army Crew Team  case because it beautifully demonstrates how a team can be so much less than the sum of its parts.

I deliver the case to executives in a nearby state-of-the-art rowing facility that features rowing machines, professional coaches, and shiny red eight-person shells.

After going through the case, they hear testimonies from former members of Chinese national crew teams before carrying their own boat to the river for a test race.

The rich learning environment helps to vividly underscore one of the case’s core messages: competition can be a double-edged sword if not properly managed.

Executives in Emily Michelle David’s organizational behavior class participate in rowing activities at a nearby facility as part of her case delivery.

Despite working for an elite headhunting firm, the executives in my most recent class were surprised to realize how much they’ve allowed their own team-building responsibilities to lapse. In the MBA pre-course, this case often leads to a rich discussion about common traps that newcomers fall into (for example, trying to do too much, too soon), which helps to poise them to both stand out in the MBA as well as prepare them for the lateral team building they will soon engage in.

Finally, I love that the post-script always gets a good laugh and serves as an early lesson that organizational behavior courses will seldom give you foolproof solutions for specific problems but will, instead, arm you with the ability to think through issues more critically.”

2. ATH Technologies

Devin Shanthikumar, Associate Professor of Accounting, Paul Merage School of Business

“As a professor at UC Irvine’s Paul Merage School of Business, and before that at Harvard Business School, I have probably taught over 100 cases. I would like to say that my favorite case is my own,   Compass Box Whisky Company . But as fun as that case is, one case beats it:  ATH Technologies  by Robert Simons and Jennifer Packard.

ATH presents a young entrepreneurial company that is bought by a much larger company. As part of the merger, ATH gets an ‘earn-out’ deal—common among high-tech industries. The company, and the class, must decide what to do to achieve the stretch earn-out goals.

ATH captures a scenario we all want to be in at some point in our careers—being part of a young, exciting, growing organization. And a scenario we all will likely face—having stretch goals that seem almost unreachable.

It forces us, as a class, to really struggle with what to do at each stage.

After we read and discuss the A case, we find out what happens next, and discuss the B case, then the C, then D, and even E. At every stage, we can:

see how our decisions play out,

figure out how to build on our successes, and

address our failures.

The case is exciting, the class discussion is dynamic and energetic, and in the end, we all go home with a memorable ‘ah-ha!’ moment.

I have taught many great cases over my career, but none are quite as fun, memorable, and effective as ATH .”

3. Fabritek 1992

Rob Austin, Professor of Information Systems, Ivey Business School

“This might seem like an odd choice, but my favorite case to teach is an old operations case called  Fabritek 1992 .

The latest version of Fabritek 1992 is dated 2009, but it is my understanding that this is a rewrite of a case that is older (probably much older). There is a Fabritek 1969 in the HBP catalog—same basic case, older dates, and numbers. That 1969 version lists no authors, so I suspect the case goes even further back; the 1969 version is, I’m guessing, a rewrite of an even older version.

There are many things I appreciate about the case. Here are a few:

It operates as a learning opportunity at many levels. At first it looks like a not-very-glamorous production job scheduling case. By the end of the case discussion, though, we’re into (operations) strategy and more. It starts out technical, then explodes into much broader relevance. As I tell participants when I’m teaching HBP's Teaching with Cases seminars —where I often use Fabritek as an example—when people first encounter this case, they almost always underestimate it.

It has great characters—especially Arthur Moreno, who looks like a troublemaker, but who, discussion reveals, might just be the smartest guy in the factory. Alums of the Harvard MBA program have told me that they remember Arthur Moreno many years later.

Almost every word in the case is important. It’s only four and a half pages of text and three pages of exhibits. This economy of words and sparsity of style have always seemed like poetry to me. I should note that this super concise, every-word-matters approach is not the ideal we usually aspire to when we write cases. Often, we include extra or superfluous information because part of our teaching objective is to provide practice in separating what matters from what doesn’t in a case. Fabritek takes a different approach, though, which fits it well.

It has a dramatic structure. It unfolds like a detective story, a sort of whodunnit. Something is wrong. There is a quality problem, and we’re not sure who or what is responsible. One person, Arthur Moreno, looks very guilty (probably too obviously guilty), but as we dig into the situation, there are many more possibilities. We spend in-class time analyzing the data (there’s a bit of math, so it covers that base, too) to determine which hypotheses are best supported by the data. And, realistically, the data doesn’t support any of the hypotheses perfectly, just some of them more than others. Also, there’s a plot twist at the end (I won’t reveal it, but here’s a hint: Arthur Moreno isn’t nearly the biggest problem in the final analysis). I have had students tell me the surprising realization at the end of the discussion gives them ‘goosebumps.’

Finally, through the unexpected plot twist, it imparts what I call a ‘wisdom lesson’ to young managers: not to be too sure of themselves and to regard the experiences of others, especially experts out on the factory floor, with great seriousness.”

4. Lincoln Electric Co.

Karin Schnarr, Assistant Professor of Policy, Wilfrid Laurier University

“As a strategy professor, my favorite case to teach is the classic 1975 Harvard case  Lincoln Electric Co.  by Norman Berg.

I use it to demonstrate to students the theory linkage between strategy and organizational structure, management processes, and leadership behavior.

This case may be an odd choice for a favorite. It occurs decades before my students were born. It is pages longer than we are told students are now willing to read. It is about manufacturing arc welding equipment in Cleveland, Ohio—a hard sell for a Canadian business classroom.

Yet, I have never come across a case that so perfectly illustrates what I want students to learn about how a company can be designed from an organizational perspective to successfully implement its strategy.

And in a time where so much focus continues to be on how to maximize shareholder value, it is refreshing to be able to discuss a publicly-traded company that is successfully pursuing a strategy that provides a fair value to shareholders while distributing value to employees through a large bonus pool, as well as value to customers by continually lowering prices.

However, to make the case resonate with today’s students, I work to make it relevant to the contemporary business environment. I link the case to multimedia clips about Lincoln Electric’s current manufacturing practices, processes, and leadership practices. My students can then see that a model that has been in place for generations is still viable and highly successful, even in our very different competitive situation.”

5. Pal’s Sudden Service—Scaling an Organizational Model to Drive Growth

Gary Pisano, Professor of Business Administration, Harvard Business School

“My favorite case to teach these days is  Pal’s Sudden Service—Scaling an Organizational Model to Drive Growth .

I love teaching this case for three reasons:

1. It demonstrates how a company in a super-tough, highly competitive business can do very well by focusing on creating unique operating capabilities. In theory, Pal’s should have no chance against behemoths like McDonalds or Wendy’s—but it thrives because it has built a unique operating system. It’s a great example of a strategic approach to operations in action.

2. The case shows how a strategic approach to human resource and talent development at all levels really matters. This company competes in an industry not known for engaging its front-line workers. The case shows how engaging these workers can really pay off.

3. Finally, Pal’s is really unusual in its approach to growth. Most companies set growth goals (usually arbitrary ones) and then try to figure out how to ‘backfill’ the human resource and talent management gaps. They trust you can always find someone to do the job. Pal’s tackles the growth problem completely the other way around. They rigorously select and train their future managers. Only when they have a manager ready to take on their own store do they open a new one. They pace their growth off their capacity to develop talent. I find this really fascinating and so do the students I teach this case to.”

6. The United States Air Force: ‘Chaos’ in the 99th Reconnaissance Squadron

Francesca Gino, Professor of Business Administration, Harvard Business School

“My favorite case to teach is  The United States Air Force: ‘Chaos’ in the 99th Reconnaissance Squadron .

The case surprises students because it is about a leader, known in the unit by the nickname Chaos , who inspired his squadron to be innovative and to change in a culture that is all about not rocking the boat, and where there is a deep sense that rules should simply be followed.

For years, I studied ‘rebels,’ people who do not accept the status quo; rather, they approach work with curiosity and produce positive change in their organizations. Chaos is a rebel leader who got the level of cultural change right. Many of the leaders I’ve met over the years complain about the ‘corporate culture,’ or at least point to clear weaknesses of it; but then they throw their hands up in the air and forget about changing what they can.

Chaos is different—he didn’t go after the ‘Air Force’ culture. That would be like boiling the ocean.

Instead, he focused on his unit of control and command: The 99th squadron. He focused on enabling that group to do what it needed to do within the confines of the bigger Air Force culture. In the process, he inspired everyone on his team to be the best they can be at work.

The case leaves the classroom buzzing and inspired to take action.”

7. Warren E. Buffett, 2015

Robert F. Bruner, Professor of Business Administration, Darden School of Business

“I love teaching   Warren E. Buffett, 2015  because it energizes, exercises, and surprises students.

Buffett looms large in the business firmament and therefore attracts anyone who is eager to learn his secrets for successful investing. This generates the kind of energy that helps to break the ice among students and instructors early in a course and to lay the groundwork for good case discussion practices.

Studying Buffett’s approach to investing helps to introduce and exercise important themes that will resonate throughout a course. The case challenges students to define for themselves what it means to create value. The case discussion can easily be tailored for novices or for more advanced students.

Either way, this is not hero worship: The case affords a critical examination of the financial performance of Buffett’s firm, Berkshire Hathaway, and reveals both triumphs and stumbles. Most importantly, students can critique the purported benefits of Buffett’s conglomeration strategy and the sustainability of his investment record as the size of the firm grows very large.

By the end of the class session, students seem surprised with what they have discovered. They buzz over the paradoxes in Buffett’s philosophy and performance record. And they come away with sober respect for Buffett’s acumen and for the challenges of creating value for investors.

Surely, such sobriety is a meta-message for any mastery of finance.”

More Educator Favorites

Emily Michelle David is an assistant professor of management at China Europe International Business School (CEIBS). Her current research focuses on discovering how to make workplaces more welcoming for people of all backgrounds and personality profiles to maximize performance and avoid employee burnout. David’s work has been published in a number of scholarly journals, and she has worked as an in-house researcher at both NASA and the M.D. Anderson Cancer Center.

Devin Shanthikumar  is an associate professor and the accounting area coordinator at UCI Paul Merage School of Business. She teaches undergraduate, MBA, and executive-level courses in managerial accounting. Shanthikumar previously served on the faculty at Harvard Business School, where she taught both financial accounting and managerial accounting for MBAs, and wrote cases that are used in accounting courses across the country.

Robert D. Austin is a professor of information systems at Ivey Business School and an affiliated faculty member at Harvard Medical School. He has published widely, authoring nine books, more than 50 cases and notes, three Harvard online products, and two popular massive open online courses (MOOCs) running on the Coursera platform.

Karin Schnarr is an assistant professor of policy and the director of the Bachelor of Business Administration (BBA) program at the Lazaridis School of Business & Economics at Wilfrid Laurier University in Waterloo, Ontario, Canada where she teaches strategic management at the undergraduate, graduate, and executive levels. Schnarr has published several award-winning and best-selling cases and regularly presents at international conferences on case writing and scholarship.

Gary P. Pisano is the Harry E. Figgie, Jr. Professor of Business Administration and senior associate dean of faculty development at Harvard Business School, where he has been on the faculty since 1988. Pisano is an expert in the fields of technology and operations strategy, the management of innovation, and competitive strategy. His research and consulting experience span a range of industries including aerospace, biotechnology, pharmaceuticals, specialty chemicals, health care, nutrition, computers, software, telecommunications, and semiconductors.

Francesca Gino studies how people can have more productive, creative, and fulfilling lives. She is a professor at Harvard Business School and the author, most recently, of  Rebel Talent: Why It Pays to Break the Rules at Work and in Life . Gino regularly gives keynote speeches, delivers corporate training programs, and serves in advisory roles for firms and not-for-profit organizations across the globe.

Robert F. Bruner is a university professor at the University of Virginia, distinguished professor of business administration, and dean emeritus of the Darden School of Business. He has also held visiting appointments at Harvard and Columbia universities in the United States, at INSEAD in France, and at IESE in Spain. He is the author, co-author, or editor of more than 20 books on finance, management, and teaching. Currently, he teaches and writes in finance and management.

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How the Case Method Works

• Read and analyze the case. Each case is a 10-20 page document written from the viewpoint of a real person leading a real organization. In addition to background information on the situation, each case ends in a key decision to be made. Your job is to sift through the information, incomplete by design, and decide what you would do.
• Discuss the case. Each morning, you’ll bring your ideas to a small team of classmates from diverse professional backgrounds, your discussion group, to share your findings and listen to theirs. Together, you begin to see the case from different perspectives, better preparing you for class.
• Engage in class. Be prepared to change the way you think as you debate with classmates the best path forward for this organization. The highly engaged conversation is facilitated by the faculty member, but it’s driven by your classmates’ comments and experiences. HBS brings together amazingly talented people from diverse backgrounds and puts that experience front and center. Students do the majority of the talking (and lots of active listening), and your job is to better understand the decision at hand, what you would do in the case protagonist’s shoes, and why. You will not leave a class thinking about the case the same way you thought about it coming in! In addition to learning more about many businesses, in the case method you will develop communication, listening, analysis, and leadership skills. It is a truly dynamic and immersive learning environment.
• Reflect. The case method prepares you to be in leadership positions where you will face time-sensitive decisions with limited information. Reflecting on each class discussion will prepare you to face these situations in your future roles.

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Home » Case Study – Methods, Examples and Guide

Case Study – Methods, Examples and Guide

Table of Contents

A case study is a research method that involves an in-depth examination and analysis of a particular phenomenon or case, such as an individual, organization, community, event, or situation.

It is a qualitative research approach that aims to provide a detailed and comprehensive understanding of the case being studied. Case studies typically involve multiple sources of data, including interviews, observations, documents, and artifacts, which are analyzed using various techniques, such as content analysis, thematic analysis, and grounded theory. The findings of a case study are often used to develop theories, inform policy or practice, or generate new research questions.

Types of Case Study

Types and Methods of Case Study are as follows:

Single-Case Study

A single-case study is an in-depth analysis of a single case. This type of case study is useful when the researcher wants to understand a specific phenomenon in detail.

For Example , A researcher might conduct a single-case study on a particular individual to understand their experiences with a particular health condition or a specific organization to explore their management practices. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a single-case study are often used to generate new research questions, develop theories, or inform policy or practice.

Multiple-Case Study

A multiple-case study involves the analysis of several cases that are similar in nature. This type of case study is useful when the researcher wants to identify similarities and differences between the cases.

For Example, a researcher might conduct a multiple-case study on several companies to explore the factors that contribute to their success or failure. The researcher collects data from each case, compares and contrasts the findings, and uses various techniques to analyze the data, such as comparative analysis or pattern-matching. The findings of a multiple-case study can be used to develop theories, inform policy or practice, or generate new research questions.

Exploratory Case Study

An exploratory case study is used to explore a new or understudied phenomenon. This type of case study is useful when the researcher wants to generate hypotheses or theories about the phenomenon.

For Example, a researcher might conduct an exploratory case study on a new technology to understand its potential impact on society. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as grounded theory or content analysis. The findings of an exploratory case study can be used to generate new research questions, develop theories, or inform policy or practice.

Descriptive Case Study

A descriptive case study is used to describe a particular phenomenon in detail. This type of case study is useful when the researcher wants to provide a comprehensive account of the phenomenon.

For Example, a researcher might conduct a descriptive case study on a particular community to understand its social and economic characteristics. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a descriptive case study can be used to inform policy or practice or generate new research questions.

Instrumental Case Study

An instrumental case study is used to understand a particular phenomenon that is instrumental in achieving a particular goal. This type of case study is useful when the researcher wants to understand the role of the phenomenon in achieving the goal.

For Example, a researcher might conduct an instrumental case study on a particular policy to understand its impact on achieving a particular goal, such as reducing poverty. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of an instrumental case study can be used to inform policy or practice or generate new research questions.

Case Study Data Collection Methods

Here are some common data collection methods for case studies:

Interviews involve asking questions to individuals who have knowledge or experience relevant to the case study. Interviews can be structured (where the same questions are asked to all participants) or unstructured (where the interviewer follows up on the responses with further questions). Interviews can be conducted in person, over the phone, or through video conferencing.

Observations

Observations involve watching and recording the behavior and activities of individuals or groups relevant to the case study. Observations can be participant (where the researcher actively participates in the activities) or non-participant (where the researcher observes from a distance). Observations can be recorded using notes, audio or video recordings, or photographs.

Documents can be used as a source of information for case studies. Documents can include reports, memos, emails, letters, and other written materials related to the case study. Documents can be collected from the case study participants or from public sources.

Surveys involve asking a set of questions to a sample of individuals relevant to the case study. Surveys can be administered in person, over the phone, through mail or email, or online. Surveys can be used to gather information on attitudes, opinions, or behaviors related to the case study.

Artifacts are physical objects relevant to the case study. Artifacts can include tools, equipment, products, or other objects that provide insights into the case study phenomenon.

How to conduct Case Study Research

Conducting a case study research involves several steps that need to be followed to ensure the quality and rigor of the study. Here are the steps to conduct case study research:

• Define the research questions: The first step in conducting a case study research is to define the research questions. The research questions should be specific, measurable, and relevant to the case study phenomenon under investigation.
• Select the case: The next step is to select the case or cases to be studied. The case should be relevant to the research questions and should provide rich and diverse data that can be used to answer the research questions.
• Collect data: Data can be collected using various methods, such as interviews, observations, documents, surveys, and artifacts. The data collection method should be selected based on the research questions and the nature of the case study phenomenon.
• Analyze the data: The data collected from the case study should be analyzed using various techniques, such as content analysis, thematic analysis, or grounded theory. The analysis should be guided by the research questions and should aim to provide insights and conclusions relevant to the research questions.
• Draw conclusions: The conclusions drawn from the case study should be based on the data analysis and should be relevant to the research questions. The conclusions should be supported by evidence and should be clearly stated.
• Validate the findings: The findings of the case study should be validated by reviewing the data and the analysis with participants or other experts in the field. This helps to ensure the validity and reliability of the findings.
• Write the report: The final step is to write the report of the case study research. The report should provide a clear description of the case study phenomenon, the research questions, the data collection methods, the data analysis, the findings, and the conclusions. The report should be written in a clear and concise manner and should follow the guidelines for academic writing.

Examples of Case Study

Here are some examples of case study research:

• The Hawthorne Studies : Conducted between 1924 and 1932, the Hawthorne Studies were a series of case studies conducted by Elton Mayo and his colleagues to examine the impact of work environment on employee productivity. The studies were conducted at the Hawthorne Works plant of the Western Electric Company in Chicago and included interviews, observations, and experiments.
• The Stanford Prison Experiment: Conducted in 1971, the Stanford Prison Experiment was a case study conducted by Philip Zimbardo to examine the psychological effects of power and authority. The study involved simulating a prison environment and assigning participants to the role of guards or prisoners. The study was controversial due to the ethical issues it raised.
• The Challenger Disaster: The Challenger Disaster was a case study conducted to examine the causes of the Space Shuttle Challenger explosion in 1986. The study included interviews, observations, and analysis of data to identify the technical, organizational, and cultural factors that contributed to the disaster.
• The Enron Scandal: The Enron Scandal was a case study conducted to examine the causes of the Enron Corporation’s bankruptcy in 2001. The study included interviews, analysis of financial data, and review of documents to identify the accounting practices, corporate culture, and ethical issues that led to the company’s downfall.
• The Fukushima Nuclear Disaster : The Fukushima Nuclear Disaster was a case study conducted to examine the causes of the nuclear accident that occurred at the Fukushima Daiichi Nuclear Power Plant in Japan in 2011. The study included interviews, analysis of data, and review of documents to identify the technical, organizational, and cultural factors that contributed to the disaster.

Application of Case Study

Case studies have a wide range of applications across various fields and industries. Here are some examples:

Business and Management

Case studies are widely used in business and management to examine real-life situations and develop problem-solving skills. Case studies can help students and professionals to develop a deep understanding of business concepts, theories, and best practices.

Case studies are used in healthcare to examine patient care, treatment options, and outcomes. Case studies can help healthcare professionals to develop critical thinking skills, diagnose complex medical conditions, and develop effective treatment plans.

Case studies are used in education to examine teaching and learning practices. Case studies can help educators to develop effective teaching strategies, evaluate student progress, and identify areas for improvement.

Social Sciences

Case studies are widely used in social sciences to examine human behavior, social phenomena, and cultural practices. Case studies can help researchers to develop theories, test hypotheses, and gain insights into complex social issues.

Law and Ethics

Case studies are used in law and ethics to examine legal and ethical dilemmas. Case studies can help lawyers, policymakers, and ethical professionals to develop critical thinking skills, analyze complex cases, and make informed decisions.

Purpose of Case Study

The purpose of a case study is to provide a detailed analysis of a specific phenomenon, issue, or problem in its real-life context. A case study is a qualitative research method that involves the in-depth exploration and analysis of a particular case, which can be an individual, group, organization, event, or community.

The primary purpose of a case study is to generate a comprehensive and nuanced understanding of the case, including its history, context, and dynamics. Case studies can help researchers to identify and examine the underlying factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and detailed understanding of the case, which can inform future research, practice, or policy.

Case studies can also serve other purposes, including:

• Illustrating a theory or concept: Case studies can be used to illustrate and explain theoretical concepts and frameworks, providing concrete examples of how they can be applied in real-life situations.
• Developing hypotheses: Case studies can help to generate hypotheses about the causal relationships between different factors and outcomes, which can be tested through further research.
• Providing insight into complex issues: Case studies can provide insights into complex and multifaceted issues, which may be difficult to understand through other research methods.
• Informing practice or policy: Case studies can be used to inform practice or policy by identifying best practices, lessons learned, or areas for improvement.

Advantages of Case Study Research

There are several advantages of case study research, including:

• In-depth exploration: Case study research allows for a detailed exploration and analysis of a specific phenomenon, issue, or problem in its real-life context. This can provide a comprehensive understanding of the case and its dynamics, which may not be possible through other research methods.
• Rich data: Case study research can generate rich and detailed data, including qualitative data such as interviews, observations, and documents. This can provide a nuanced understanding of the case and its complexity.
• Holistic perspective: Case study research allows for a holistic perspective of the case, taking into account the various factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and comprehensive understanding of the case.
• Theory development: Case study research can help to develop and refine theories and concepts by providing empirical evidence and concrete examples of how they can be applied in real-life situations.
• Practical application: Case study research can inform practice or policy by identifying best practices, lessons learned, or areas for improvement.
• Contextualization: Case study research takes into account the specific context in which the case is situated, which can help to understand how the case is influenced by the social, cultural, and historical factors of its environment.

Limitations of Case Study Research

There are several limitations of case study research, including:

• Limited generalizability : Case studies are typically focused on a single case or a small number of cases, which limits the generalizability of the findings. The unique characteristics of the case may not be applicable to other contexts or populations, which may limit the external validity of the research.
• Biased sampling: Case studies may rely on purposive or convenience sampling, which can introduce bias into the sample selection process. This may limit the representativeness of the sample and the generalizability of the findings.
• Subjectivity: Case studies rely on the interpretation of the researcher, which can introduce subjectivity into the analysis. The researcher’s own biases, assumptions, and perspectives may influence the findings, which may limit the objectivity of the research.
• Limited control: Case studies are typically conducted in naturalistic settings, which limits the control that the researcher has over the environment and the variables being studied. This may limit the ability to establish causal relationships between variables.
• Time-consuming: Case studies can be time-consuming to conduct, as they typically involve a detailed exploration and analysis of a specific case. This may limit the feasibility of conducting multiple case studies or conducting case studies in a timely manner.
• Resource-intensive: Case studies may require significant resources, including time, funding, and expertise. This may limit the ability of researchers to conduct case studies in resource-constrained settings.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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What is a business case and how to write one (with template)

In this guide, we’ll define what a business case is, help you determine when you need one (and when you don’t), and walk you through a four-step process for creating a business case.

We’ll also outline what you should include in a business case and provide a free template you can use when writing a business case to secure stakeholder support for your next big project.

What is a business case?

Every project needs the support and approval of key stakeholders before it can launch. Many project and product leaders use a project plan or charter to communicate pertinent details to those involved.

Similarly, for large initiatives that require significant resources, potential investors are presented a business case outlining the costs, benefits, business need, and risks involved.

A business case is a document that defines the value it will deliver if executed and benefits the company over the costs involved. With a thorough understanding of the components to be included and necessary resources, it is possible to create a compelling business plan.

Why do you need a business case?

If a project is green-lit without a business case, it can lead to serious issues down the road. A project without clearly articulated expectations and goals can go on endlessly and aimlessly. This leads to wasted resources, money, and time with no outcome in the end.

A business case enables you to:

Align with strategy

Gain stakeholder support, prioritize projects, track outcomes.

A business case helps to showcase how a project is aligned with the overall strategy and goals of the organization. It clearly defines the problem or opportunity that the project is intended to address.

A business case also enables you to determine expected benefits and outcomes before you start a project or initiatives, thus projecting how the project contribute to achieving the organization’s goals.

A business case is a useful tool to provide a clear rationale for pursuing the project. A thorough business case can help key stakeholders decide whether to invest in the project by evaluating the feasibility, costs, risks and potential returns. A business case presentation gives stakeholders an opportunity to ask questions and address concerns.

A business case defines the value that the project is expected to deliver. Based on the value delivered by each project, business and product leaders can prioritize projects for budget cuts or further investments. Proper prioritization helps the organization achieve the goals aligned with the business strategy.

A business case provides a roadmap for the project, including the goals, milestones, and key deliverables. Once the project starts, a roadmap helps you keep track of your progress toward project goals, including what has already been achieved and what will be delivered at the end. Providing a timely update on the project to the key stakeholders is critical for setting expectations.

When you don’t need a business case

A business case is certainly helpful for large initiatives requiring support from key stakeholders, but there are some situations where creating a business case might be a waste of time.

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For instance, small or low-risk projects that would not impact the organization in any negative way do not require a business case because it would not make sense to spend that much effort on a low-scale project.

A business case might also be considered superfluous for a project that is already ongoing. It can be tempting to create a business case post-launch for the sole purpose of documenting decisions made and milestones achieved. However, it’s typically not worth the time investment because such a business case rarely adds any value or insights.

Before you take on the task of creating a business case, it’s important to carefully consider the need and to ensure that doing so would produce valuable insights to the decision-making process. It is in the best interest of everyone to forgo the business case creation process in situations where it does not provide any additional value and to focus instead on other activities that directly impact the project.

Business case vs. business plan

A business plan is not the same thing as a business case.

A business case outlines a proposed project and its potential benefits to convince key stakeholders to invest. It typically includes analysis of costs, value to be delivered, and associated risks, along with ROI.

A business plan, on the other hand, outlines the overall strategy and goals for an entire organization. It defines the what, why, and who for the business, covering the products and services offered, target segment, marketing and sales strategy, and operational and financial projections over a period of time. A business plan is designed to help potential outside investors make informed decisions about whether the business is worth investing in.

The table below breaks down the differences between a business plan and a business case:

How to write a business case

Before we dive into steps to create a business case, let’s review what we’ve learned so far:

• A business case is a document created during the initiation of the project but is referred throughout the project lifecycle
• A strong business case helps in building confidence and gaining support of key stakeholders
• A business case also helps you track a project’s progress over time
• A weak business case that is not aligned with strategy can lead to project failure

To write a business case, follow this four-step process:

• Identify the business need
• Explore all possible solutions
• Propose the best approach
• Outline the implementation process

1. Identify the business need

Projects are initiated to solve a business need and achieve a value or a benefit aligned to the goals of the organization.

The first step to create a business case is to identify the business problem and define it clearly. Market research and any available data to justify the business need is helpful to include in the business case.

2. Explore all possible solutions

Once the business problem has been identified, the next step is to explore all the possible solutions for that problem. You can do this systematically by listing out all the possible solutions along with other parameters, such as:

• The benefits of each approach
• Feasibility
• Time period
• Assumptions

A detailed analysis of each option predicting the cash flows, ROI, and value delivered would help key stakeholders understand each solution and cross-question the assumptions, feasibility, and other parameters.

3. Propose the best approach

Set a criteria to showcase how you evaluate each solution and then come up with the best out of the list.

To set the criteria, identify attributes that closely align to the organization’s strategy. For example, if the organization’s goal is to increase revenue in the next year, then an important criterion might be the solution with maximum revenue projection.

List the top three-to-five attributes to evaluate alternative solutions against and rank each solution 1–5. Once you rank all of them, total the ranks for all the attributes to indicate a clear winner.

Document this process and present it to stakeholders to ensure they are on the same page with the selection process of the best solution.

4. Outline the implementation process

Once the best solution has been proposed, the next step is to think about how it will be implemented.

When it comes to planning the implementation process, you need to define:

• Resources needed
• Timeline from initiation till the end
• Risks and how to mitigate
• Milestones and when they will be achieved
• Total cost involved and how much will be used by when

These four steps, when captured in detail, can help you win the support of key stakeholders and kick off your project with a solid foundation and a clear objective.

What is included in a business case?

Now that we’ve walked through the steps of how to create a business case, let us also take a look at what to include in the business case document to support the four steps outlined above.

Here’s what to include in a business case:

• Executive summary — A quick overview of the project and the topics being covered in the business case
• Business problem — A description of the business problem and why it is important to solve it
• Possible solutions — A list of possible solutions and how the best possible solution is identified
• Project definition — Define the business objectives to be achieved along with general information about the project
• Project plan — Create the project plan with key elements your team needs to accomplish to successfully achieve your project goals
• Project scope — Clearly define what would be covered as a part of the project and what is out of scope to avoid any confusion
• Project budget — Estimated cost involved to complete the project needs to be captured with a detailed breakdown
• Project roadmap — Projection of the estimated timeline for each stage of the project to be done. Be sure to include any important project milestones
• Project financials — Financial metrics depicting the cash flow, such as NPV, IRR, ROI, and payback period to help stakeholders understand the financial value the project can bring in over a period of time
• Risk assessment — Capture the risks involved and the steps planned to mitigate the risks
• Project stakeholders — A list of key stakeholders involved can help anyone looking at the document to reach out to them when needed. The list can include the project team, sponsoring executives, and any external stakeholders who might be involved

Business case template

To help you get started writing a business case for your next big project or initiative, we created a business case template that you can download and customize for free.

You can access this simple business case template by clicking here (be sure to select File > Make a copy from the main menu bar before editing the template).

Preparing the business case is only half the journey of initiating a project. The next step is to present the business plan to key stakeholders , answer their queries, and compel them to support the project.

Lastly, be sure to follow up with the attendees to make sure all the stakeholders are on the same page and aligned to support the project.

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Blog Beginner Guides What is a Case Study? [+6 Types of Case Studies]

What is a Case Study? [+6 Types of Case Studies]

Written by: Ronita Mohan Sep 20, 2021

Case studies have become powerful business tools. But what is a case study? What are the benefits of creating one? Are there limitations to the format?

If you’ve asked yourself these questions, our helpful guide will clear things up. Learn how to use a case study for business. Find out how cases analysis works in psychology and research.

We’ve also got examples of case studies to inspire you.

Haven’t made a case study before? You can easily  create a case study  with Venngage’s customizable templates.

CREATE A CASE STUDY

Click to jump ahead:

What is a case study, what is the case study method, benefits of case studies, limitations of case studies, types of case studies, faqs about case studies.

Case studies are research methodologies. They examine subjects, projects, or organizations to tell a story.

USE THIS TEMPLATE

Numerous sectors use case analyses. The social sciences, social work, and psychology create studies regularly.

Healthcare industries write reports on patients and diagnoses. Marketing case study examples , like the one below, highlight the benefits of a business product.

CREATE THIS REPORT TEMPLATE

Now that you know what a case study is, we explain how case reports are used in three different industries.

What is a business case study?

A business or marketing case study aims at showcasing a successful partnership. This can be between a brand and a client. Or the case study can examine a brand’s project.

There is a perception that case studies are used to advertise a brand. But effective reports, like the one below, can show clients how a brand can support them.

Hubspot created a case study on a customer that successfully scaled its business. The report outlines the various Hubspot tools used to achieve these results.

Hubspot also added a video with testimonials from the client company’s employees.

So, what is the purpose of a case study for businesses? There is a lot of competition in the corporate world. Companies are run by people. They can be on the fence about which brand to work with.

Business reports  stand out aesthetically, as well. They use  brand colors  and brand fonts . Usually, a combination of the client’s and the brand’s.

With the Venngage  My Brand Kit  feature, businesses can automatically apply their brand to designs.

A business case study, like the one below, acts as social proof. This helps customers decide between your brand and your competitors.

Don’t know how to design a report? You can learn  how to write a case study  with Venngage’s guide. We also share design tips and examples that will help you convert.

Related: 55+ Annual Report Design Templates, Inspirational Examples & Tips [Updated]

What is a case study in psychology?

In the field of psychology, case studies focus on a particular subject. Psychology case histories also examine human behaviors.

Case reports search for commonalities between humans. They are also used to prescribe further research. Or these studies can elaborate on a solution for a behavioral ailment.

The American Psychology Association  has a number of case studies on real-life clients. Note how the reports are more text-heavy than a business case study.

Famous psychologists such as Sigmund Freud and Anna O popularised the use of case studies in the field. They did so by regularly interviewing subjects. Their detailed observations build the field of psychology.

It is important to note that psychological studies must be conducted by professionals. Psychologists, psychiatrists and therapists should be the researchers in these cases.

Related: What Netflix’s Top 50 Shows Can Teach Us About Font Psychology [Infographic]

What is a case study in research?

Research is a necessary part of every case study. But specific research fields are required to create studies. These fields include user research, healthcare, education, or social work.

For example, this UX Design  report examined the public perception of a client. The brand researched and implemented new visuals to improve it. The study breaks down this research through lessons learned.

Clinical reports are a necessity in the medical field. These documents are used to share knowledge with other professionals. They also help examine new or unusual diseases or symptoms.

The pandemic has led to a significant increase in research. For example,  Spectrum Health  studied the value of health systems in the pandemic. They created the study by examining community outreach.

The pandemic has significantly impacted the field of education. This has led to numerous examinations on remote studying. There have also been studies on how students react to decreased peer communication.

Social work case reports often have a community focus. They can also examine public health responses. In certain regions, social workers study disaster responses.

You now know what case studies in various fields are. In the next step of our guide, we explain the case study method.

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A case analysis is a deep dive into a subject. To facilitate this case studies are built on interviews and observations. The below example would have been created after numerous interviews.

Case studies are largely qualitative. They analyze and describe phenomena. While some data is included, a case analysis is not quantitative.

There are a few steps in the case method. You have to start by identifying the subject of your study. Then determine what kind of research is required.

In natural sciences, case studies can take years to complete. Business reports, like this one, don’t take that long. A few weeks of interviews should be enough.

The case method will vary depending on the industry. Reports will also look different once produced.

As you will have seen, business reports are more colorful. The design is also more accessible . Healthcare and psychology reports are more text-heavy.

Designing case reports takes time and energy. So, is it worth taking the time to write them? Here are the benefits of creating case studies.

• Collects large amounts of information
• Helps formulate hypotheses
• Builds the case for further research
• Discovers new insights into a subject
• Builds brand trust and loyalty
• Engages customers through stories

For example, the business study below creates a story around a brand partnership. It makes for engaging reading. The study also shows evidence backing up the information.

We’ve shared the benefits of why studies are needed. We will also look at the limitations of creating them.

Related: How to Present a Case Study like a Pro (With Examples)

There are a few disadvantages to conducting a case analysis. The limitations will vary according to the industry.

• Responses from interviews are subjective
• Subjects may tailor responses to the researcher
• Studies can’t always be replicated
• In certain industries, analyses can take time and be expensive
• Risk of generalizing the results among a larger population

These are some of the common weaknesses of creating case reports. If you’re on the fence, look at the competition in your industry.

Other brands or professionals are building reports, like this example. In that case, you may want to do the same.

There are six common types of case reports. Depending on your industry, you might use one of these types.

Descriptive case studies

Explanatory case studies, exploratory case reports, intrinsic case studies, instrumental case studies, collective case reports.

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We go into more detail about each type of study in the guide below.

Related:  15+ Professional Case Study Examples [Design Tips + Templates]

When you have an existing hypothesis, you can design a descriptive study. This type of report starts with a description. The aim is to find connections between the subject being studied and a theory.

Once these connections are found, the study can conclude. The results of this type of study will usually suggest how to develop a theory further.

A study like the one below has concrete results. A descriptive report would use the quantitative data as a suggestion for researching the subject deeply.

When an incident occurs in a field, an explanation is required. An explanatory report investigates the cause of the event. It will include explanations for that cause.

The study will also share details about the impact of the event. In most cases, this report will use evidence to predict future occurrences. The results of explanatory reports are definitive.

Note that there is no room for interpretation here. The results are absolute.

The study below is a good example. It explains how one brand used the services of another. It concludes by showing definitive proof that the collaboration was successful.

Another example of this study would be in the automotive industry. If a vehicle fails a test, an explanatory study will examine why. The results could show that the failure was because of a particular part.

Related: How to Write a Case Study [+ Design Tips]

An explanatory report is a self-contained document. An exploratory one is only the beginning of an investigation.

Exploratory cases act as the starting point of studies. This is usually conducted as a precursor to large-scale investigations. The research is used to suggest why further investigations are needed.

An exploratory study can also be used to suggest methods for further examination.

For example, the below analysis could have found inconclusive results. In that situation, it would be the basis for an in-depth study.

Intrinsic studies are more common in the field of psychology. These reports can also be conducted in healthcare or social work.

These types of studies focus on a unique subject, such as a patient. They can sometimes study groups close to the researcher.

The aim of such studies is to understand the subject better. This requires learning their history. The researcher will also examine how they interact with their environment.

For instance, if the case study below was about a unique brand, it could be an intrinsic study.

Once the study is complete, the researcher will have developed a better understanding of a phenomenon. This phenomenon will likely not have been studied or theorized about before.

Examples of intrinsic case analysis can be found across psychology. For example, Jean Piaget’s theories on cognitive development. He established the theory from intrinsic studies into his own children.

Related: What Disney Villains Can Tell Us About Color Psychology [Infographic]

This is another type of study seen in medical and psychology fields. Instrumental reports are created to examine more than just the primary subject.

When research is conducted for an instrumental study, it is to provide the basis for a larger phenomenon. The subject matter is usually the best example of the phenomenon. This is why it is being studied.

Assume it’s examining lead generation strategies. It may want to show that visual marketing is the definitive lead generation tool. The brand can conduct an instrumental case study to examine this phenomenon.

Collective studies are based on instrumental case reports. These types of studies examine multiple reports.

There are a number of reasons why collective reports are created:

• To provide evidence for starting a new study
• To find pattens between multiple instrumental reports
• To find differences in similar types of cases
• Gain a deeper understanding of a complex phenomenon
• Understand a phenomenon from diverse contexts

A researcher could use multiple reports, like the one below, to build a collective case report.

Related: 10+ Case Study Infographic Templates That Convert

What makes a case study a case study?

A case study has a very particular research methodology. They are an in-depth study of a person or a group of individuals. They can also study a community or an organization. Case reports examine real-world phenomena within a set context.

How long should a case study be?

The length of studies depends on the industry. It also depends on the story you’re telling. Most case studies should be at least 500-1500 words long. But you can increase the length if you have more details to share.

What should you ask in a case study?

The one thing you shouldn’t ask is ‘yes’ or ‘no’ questions. Case studies are qualitative. These questions won’t give you the information you need.

Ask your client about the problems they faced. Ask them about solutions they found. Or what they think is the ideal solution. Leave room to ask them follow-up questions. This will help build out the study.

How to present a case study?

When you’re ready to present a case study, begin by providing a summary of the problem or challenge you were addressing. Follow this with an outline of the solution you implemented, and support this with the results you achieved, backed by relevant data. Incorporate visual aids like slides, graphs, and images to make your case study presentation more engaging and impactful.

Now you know what a case study means, you can begin creating one. These reports are a great tool for analyzing brands. They are also useful in a variety of other fields.

Use a visual communication platform like Venngage to design case studies. With Venngage’s templates, you can design easily. Create branded, engaging reports, all without design experience.

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Can Remote Surgeries Digitally Transform Operating Rooms?

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What is a business case study?

Explanation, tips, and advice on writing a response to a business case study when applying to Geneva Business School

When you apply to Geneva Business School to undertake a bachelor’s, master’s, or MBA program, you will be asked to write a 500-word written response to a business case study .

Business case studies explained

A business case study summarizes a real-life business issue faced by a company and looks at how it may affect society within a business context. A case study is a research tool and can form part of the research methods you will use in your final projects in our programs.

Here are examples of the cases you are required to write about for the application process:

• Bachelor’s program
• Master’s or MBA

Answering a business case study is an opportunity to improve your writing skills by applying theory to a real situation , analyzing the scenario, and drawing insights from your observations. This might be the first time you write a case study, so here are some pointers from our Academic Team to help guide you. Happy writing and good luck with your application!

How to respond to a business case study

1. Read the article and/or watch the video provided in the document.

Sometimes you will remember more information if you repeat watching or reading them a few times, or pause to write notes and then rewatch sections to understand them better.

2. Make notes as you go.

Write down important points, dates, names, roles, important events, and details in the case.

3. Look for things that stand out to you.

If something seems unusual, good, or bad it most likely will hold some importance in the reflection you will write. Reading and watching the materials provided multiple times will make it easier to spot these irregularities.

4. Organize your points to form a summary of your opinion.

A good technique is to arrange your thoughts by answering the following: who, what, where, when, and how to get the main details out as a list, and go from there.

5. Analyze the situation presented.

Ask yourself what really happened in the case.

• What business is the case based on? Is it a product or a service?
• What set of conditions caused the situation?
• What happened?
• Who was involved and what decisions were made?
• What was the outcome? Evaluate it.
• What impact did the case have on the wider community?

6. Look at the questions.

See which parts of your notes can answer each one and use these as a starting point as you flesh out your paragraphs. Start your response with a thesis statement and summarise what you intend to cover in your response. Write a topic sentence for each paragraph.

7. Look at the word count.

If the case study requires 500 words, keep that in mind as you split it up between your answers. Write a response that answers the questions without any extra information. Be economical with words.

Advice for answering a business case study

1. don’t just repeat the information given..

Repeating the business case study question will show that you did not think independently about your answer. Dedicate some time to think about the case study and ask yourself what you think about it.

2. Do not copy information from the internet.

Plagiarism is unacceptable, and who wants to make a bad first impression?

3. There is more than one correct answer.

Don’t write what you think you are expected to write – everyone’s response will be different and that’s how it should be. Use your critical thinking skills and personal reaction to the case study to shape an answer that reflects your own thoughts and opinions.

Watch how to write a business case study

Have any questions for us don't hesitate to get in touch..

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How to Write a Business Case (Template Included)

Table of Contents

What is a business case, how to write a business case, business case template, watch our business case training video, key elements of a business case, how projectmanager helps with your business case.

A business case is a project management document that explains how the benefits of a project overweigh its costs and why it should be executed. Business cases are prepared during the project initiation phase and their purpose is to include all the project’s objectives, costs and benefits to convince stakeholders of its value.

A business case is an important project document to prove to your client, customer or stakeholder that the project proposal you’re pitching is a sound investment. Below, we illustrate the steps to writing one that will sway them.

The need for a business case is that it collects the financial appraisal, proposal, strategy and marketing plan in one document and offers a full look at how the project will benefit the organization. Once your business case is approved by the project stakeholders, you can begin the project planning phase.

Projects fail without having a solid business case to rest on, as this project document is the base for the project charter and project plan. But if a project business case is not anchored to reality, and doesn’t address a need that aligns with the larger business objectives of the organization, then it is irrelevant.

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Use this free Business Case Template for Word to manage your projects better.

The research you’ll need to create a strong business case is the why, what, how and who of your project. This must be clearly communicated. The elements of your business case will address the why but in greater detail. Think of the business case as a document that is created during the project initiation phase but will be used as a reference throughout the project life cycle.

Whether you’re starting a new project or mid-way through one, take time to write up a business case to justify the project expenditure by identifying the business benefits your project will deliver and that your stakeholders are most interested in reaping from the work. The following four steps will show you how to write a business case.

Step 1: Identify the Business Problem

Projects aren’t created for projects’ sake. They should always be aligned with business goals . Usually, they’re initiated to solve a specific business problem or create a business opportunity.

You should “Lead with the need.” Your first job is to figure out what that problem or opportunity is, describe it, find out where it comes from and then address the time frame needed to deal with it.

This can be a simple statement but is best articulated with some research into the economic climate and the competitive landscape to justify the timing of the project.

Step 2: Identify the Alternative Solutions

How do you know whether the project you’re undertaking is the best possible solution to the problem defined above? Naturally, prioritizing projects is hard, and the path to success is not paved with unfounded assumptions.

One way to narrow down the focus to make the right solution clear is to follow these six steps (after the relevant research, of course):

• Note the alternative solutions.
• For each solution, quantify its benefits.
• Also, forecast the costs involved in each solution.
• Then figure out its feasibility .
• Discern the risks and issues associated with each solution.
• Finally, document all this in your business case.

Step 3: Recommend a Preferred Solution

You’ll next need to rank the solutions, but before doing that it’s best to set up criteria, maybe have a scoring mechanism such as a decision matrix to help you prioritize the solutions to best choose the right one.

Some methodologies you can apply include:

• Depending on the solution’s cost and benefit , give it a score of 1-10.
• Base your score on what’s important to you.
• Add more complexity to your ranking to cover all bases.

Regardless of your approach, once you’ve added up your numbers, the best solution to your problem will become evident. Again, you’ll want to have this process also documented in your business case.

Step 4: Describe the Implementation Approach

So, you’ve identified your business problem or opportunity and how to reach it, now you have to convince your stakeholders that you’re right and have the best way to implement a process to achieve your goals. That’s why documentation is so important; it offers a practical path to solve the core problem you identified.

Now, it’s not just an exercise to appease senior leadership. Who knows what you might uncover in the research you put into exploring the underlying problem and determining alternative solutions? You might save the organization millions with an alternate solution than the one initially proposed. When you put in the work on a strong business case, you’re able to get your sponsors or organizational leadership on board with you and have a clear vision as to how to ensure the delivery of the business benefits they expect.

Our business case template for Word is the perfect tool to start writing a business case. It has 9 key business case areas you can customize as needed. Download the template for free and follow the steps below to create a great business case for all your projects.

One of the key steps to starting a business case is to have a business case checklist. The following is a detailed outline to follow when developing your business case. You can choose which of these elements are the most relevant to your project stakeholders and add them to our business case template. Then once your business case is approved, start managing your projects with a robust project management software such as ProjectManager.

1. Executive Summary

The executive summary is a short version of each section of your business case. It’s used to give stakeholders a quick overview of your project.

2. Project Definition

This section is meant to provide general information about your projects, such as the business objectives that will be achieved and the project plan outline.

3. Vision, Goals and Objectives

First, you have to figure out what you’re trying to do and what is the problem you want to solve. You’ll need to define your project vision, goals and objectives. This will help you shape your project scope and identify project deliverables.

4. Project Scope

The project scope determines all the tasks and deliverables that will be executed in your project to reach your business objectives.

5. Background Information

Here you can provide a context for your project, explaining the problem that it’s meant to solve, and how it aligns with your organization’s vision and strategic plan.

6. Success Criteria and Stakeholder Requirements

Depending on what kind of project you’re working on, the quality requirements will differ, but they are critical to the project’s success. Collect all of them, figure out what determines if you’ve successfully met them and report on the results .

7. Project Plan

It’s time to create the project plan. Figure out the tasks you’ll have to take to get the project done. You can use a work breakdown structure template  to make sure you are through. Once you have all the tasks collected, estimate how long it will take to complete each one.

Project management software makes creating a project plan significantly easier. ProjectManager can upload your work breakdown structure template and all your tasks are populated in our tool. You can organize them according to your production cycle with our kanban board view, or use our Gantt chart view to create a project schedule.

8. Project Budget

Your budget is an estimate of everything in your project plan and what it will cost to complete the project over the scheduled time allotted.

9. Project Schedule

Make a timeline for the project by estimating how long it will take to get each task completed. For a more impactful project schedule , use a tool to make a Gantt chart, and print it out. This will provide that extra flourish of data visualization and skill that Excel sheets lack.

10. Project Governance

Project governance refers to all the project management rules and procedures that apply to your project. For example, it defines the roles and responsibilities of the project team members and the framework for decision-making.

11. Communication Plan

Have milestones for check-ins and status updates, as well as determine how stakeholders will stay aware of the progress over the project life cycle.

12. Progress Reports

Have a plan in place to monitor and track your progress during the project to compare planned to actual progress. There are project tracking tools that can help you monitor progress and performance.

Again, using a project management tool improves your ability to see what’s happening in your project. ProjectManager has tracking tools like dashboards and status reports that give you a high-level view and more detail, respectively. Unlike light-weight apps that make you set up a dashboard, ours is embedded in the tool. Better still, our cloud-based software gives you real-time data for more insightful decision-making. Also, get reports on more than just status updates, but timesheets, workload, portfolio status and much more, all with just one click. Then filter the reports and share them with stakeholders to keep them updated.

13. Financial Appraisal

This is a very important section of your business case because this is where you explain how the financial benefits outweigh the project costs . Compare the financial costs and benefits of your project. You can do this by doing a sensitivity analysis and a cost-benefit analysis.

14. Market Assessment

Research your market, competitors and industry, to find opportunities and threats

15. Competitor Analysis

Identify direct and indirect competitors and do an assessment of their products, strengths, competitive advantages and their business strategy.

16. SWOT Analysis

A SWOT analysis helps you identify your organization’s strengths, weaknesses, opportunities and threats. The strengths and weaknesses are internal, while the opportunities and threats are external.

17. Marketing Strategy

Describe your product, distribution channels, pricing, target customers among other aspects of your marketing plan or strategy.

18. Risk Assessment

There are many risk categories that can impact your project. The first step to mitigating them is to identify and analyze the risks associated with your project activities.

ProjectManager , an award-winning project management software, can collect and assemble all the various data you’ll be collecting, and then easily share it both with your team and project sponsors.

Once you have a spreadsheet with all your tasks listed, you can import it into our software. Then it’s instantly populated into a Gantt chart . Simply set the duration for each of the tasks, add any dependencies, and your project is now spread across a timeline. You can set milestones, but there is so much more you can do.

You have a project plan now, and from the online Gantt chart, you can assign team members to tasks. Then they can comment directly on the tasks they’re working on, adding as many documents and images as needed, fostering a collaborative environment. You can track their progress and change task durations as needed by dragging and dropping the start and end dates.

But that’s only a taste of what ProjectManager offers. We have kanban boards that visualize your workflow and a real-time dashboard that tracks six project metrics for the most accurate view of your project possible.

Try ProjectManager and see for yourself with this 30-day free trial .

If you want more business case advice, take a moment to watch Jennifer Bridges, PMP, in this short training video. She explains the steps you have to take in order to write a good business case.

Here’s a screenshot for your reference.

Transcription:

Today we’re talking about how to write a business case. Well, over the past few years, we’ve seen the market, or maybe organizations, companies or even projects, move away from doing business cases. But, these days, companies, organizations, and those same projects are scrutinizing the investments and they’re really seeking a rate of return.

So now, think of the business case as your opportunity to package your project, your idea, your opportunity, and show what it means and what the benefits are and how other people can benefit.

We want to take a look today to see what’s in the business case and how to write one. I want to be clear that when you look for information on a business case, it’s not a briefcase.

Someone called the other day and they were confused because they were looking for something, and they kept pulling up briefcases. That’s not what we’re talking about today. What we’re talking about are business cases, and they include information about your strategies, about your goals. It is your business proposal. It has your business outline, your business strategy, and even your marketing plan.

Why Do You Need a Business Case?

And so, why is that so important today? Again, companies are seeking not only their project managers but their team members to have a better understanding of business and more of an idea business acumen. So this business case provides the justification for the proposed business change or plan. It outlines the allocation of capital that you may be seeking and the resources required to implement it. Then, it can be an action plan . It may just serve as a unified vision. And then it also provides the decision-makers with different options.

So let’s look more at the steps required to put these business cases together. There are four main steps. One, you want to research your market. Really look at what’s out there, where are the needs, where are the gaps that you can serve? Look at your competition. How are they approaching this, and how can you maybe provide some other alternatives?

You want to compare and finalize different approaches that you can use to go to market. Then you compile that data and you present strategies, your goals and other options to be considered.

And then you literally document it.

So what does the document look like? Well, there are templates out there today. The components vary, but these are the common ones. And then these are what I consider essential. So there’s the executive summary. This is just a summary of your company, what your management team may look like, a summary of your product and service and your market.

The business description gives a little bit more history about your company and the mission statement and really what your company is about and how this product or service fits in.

Then, you outline the details of the product or service that you’re looking to either expand or roll out or implement. You may even include in their patents may be that you have pending or other trademarks.

Then, you want to identify and lay out your marketing strategy. Like, how are you gonna take this to your customers? Are you going to have a brick-and-mortar store? Are you gonna do this online? And, what are your plans to take it to market?

You also want to include detailed information about your competitor analysis. How are they doing things? And, how are you planning on, I guess, beating your competition?

You also want to look at and identify your SWOT. And the SWOT is your strength. What are the strengths that you have in going to market? And where are the weaknesses? Maybe some of your gaps. And further, where are your opportunities and maybe threats that you need to plan for? Then the overview of the operation includes operational information like your production, even human resources, information about the day-to-day operations of your company.

And then, your financial plan includes your profit statement, your profit and loss, any of your financials, any collateral that you may have, and any kind of investments that you may be seeking.

So these are the components of your business case. This is why it’s so important. And if you need a tool that can help you manage and track this process, then sign up for our software now at ProjectManager .

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Humans are reinventing the consumer goods and services industry

In the age of digital commerce, it is hard to predict what consumers will buy – and why, when and where they buy it. To stay ahead of uncertainty, think like a consumer and focus on building strong relationships.

Consumer goods and services now

of consumer goods executives aspire to set a new standard for the industry – or even outside of it

of executives believe consumers are changing faster than they can change their businesses

of consumer goods companies identify the omni-connected consumer as a top priority

of companies are prioritizing integrated business planning over demand-driven inventory supply

How to reinvent consumer goods and services

Deliver winning consumer and customer experiences.

Access powerful insights by tapping into data

Drive profitable growth with digital commerce transformation.

The generative AI era

Do well by doing good, generate enduring, long-term sustainable value.

By directly involving humans—and their data—in the creation and orchestration of holistic consumer experiences, companies can meet changing consumer demands at the speed of life.

Drive loyalty

Unparalleled consumer relevance and intimacy drives loyalty.

Improve accuracy

Massively reduce risk while improving launch accuracy.

Data is everywhere but remains an untapped resource. Leading CPG’s leverage data and analytics intelligence to seize value creation opportunities.

Innovate and grow

Leverage data to create new product and investment ideas.

Improve consumer engagement

Dig into data to create hyper-personalized marketing content that will boost conversion.

Adoption of digital commerce is both material and ubiquitous for consumers and customers alike. This creates a big opportunity to capture the full potential of a market that’s poised to grow by 56% over the next three years.

Grow consumer and customer lifetime value

Provide differentiated, personalized and consistent experiences across channels that build loyalty.

Build rich insights

Combine business and ESG data across multiple channels and build insights into consumer and customer needs to gain competitive advantage.

Deliver at scale and pace

Build operating model agility by implementing the right commerce infrastructure and operations for efficient orchestration across channels and easy integration of new channels.

Reduce costs

Drive cost reduction, sustainability outcomes, and improved efficiencies by taking an integrated, ethical end to end approach to digital commerce that eliminates inefficiencies and reduces duplication.

Generative AI brings opportunities for CPGs to reinvent across the value chain and transform ways of working.

AI can help capture consumer trends faster and better, fueling new product development.

Boost conversion

Ignite engagement with hyper-personalized content and a consumer-of-one approach.

Unlock people’s potential

Blend process, automation, and real human experience to rethink work structures and craft new roles for new levels of productivity.

Sustainability is a key force for change and drives long-term growth and viability—and it’s good for business. In the future, we will not talk about “sustainable business” sustainability will be “business as usual.”

Save on cost

Outperform on financial returns and improve risk management (for example, soap concentrates are higher-margin and better for the environment).

Deepen relationships

Embracing sustainability translates into improved retention and employee satisfaction, deeper supplier and partner collaboration, and differential brand growth.

Consumers have the power—and they want to see sustainability in every product or purchase option. Rethink processes, technology, and tools with a sustainability lens to reveal holistic value and leapfrog competition.

Less than 20%

Increase productivity.

Rising input costs combined with higher inflation erodes consumer spending and hurts confidence. Enhance SG&A by 15-20% and improve working capital by 10-20% by expanding workforce productivity with end-to-end process transformation.

Grow revenue

CPGs are worried about optimizing and managing working capital amid recessionary pressure while maintaining sufficient liquidity to operate. Grow revenue by 1-2% by aligning investment to strategic priorities and future value pools.

Segments we support

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Use data and AI to create beautifully connected experiences that meet demand for personalized services.

Design, build, distribute and scale for a sector at the center of society.

Feed changing tastes and deliver delicious, scalable food experiences.

Enable smarter, more connected lives—from personal care and hygiene to home care products and appliances.

What’s trending in consumer goods and services

Information overload is impacting people’s confidence in their decisions — big or small.   AI tools can help companies deliver hyper-personalized experiences that cut through the noise, deepening loyalty in the process.

Change is here to stay for consumer goods companies, and the pace will only accelerate. Brands need a depth of consumer understanding and an unparalleled agility to move at the speed of life. 

Five imperatives the C-suite must address to reinvent in the age of generative AI.

Lion, an Australian and New Zealand beverage company, digitally transformed by migrating to AWS, enabling efficiency, agility, sustainable growth, real-time insights, and an enhanced customer experience.

Beauty is undergoing fundamental change, driven by consumers seeking science-led products that enhance health and wellness from the inside out. Growth requires a level of reinvention that will ultimately redefine the industry.

Gen AI will transform entire value chains—and the very nature of work itself. Leaders need to lead and learn in new ways to drive business performance and more productive, creative and meaningful work for everyone.

How resilient consumers are adapting in an era of volatility.

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Awards and recognition

Hfs ranks accenture no. 1 tech services provider to retail and consumer packaged goods companies, a leader in digital strategy consulting services - idc, for fourth consecutive year, named a leader in data and analytics services - everest, our leaders.

Oliver Wright

Senior Managing Director – Consumer Goods & Services, Global Lead

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Managing Director – Consumer Goods & Services Lead, EMEA

Senior Managing Director – Consumer Goods & Services Lead, North America

Mauro Rubin

Managing Director – Consumer Goods & Services Lead, Growth Markets

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Artificial intelligence in strategy

Can machines automate strategy development? The short answer is no. However, there are numerous aspects of strategists’ work where AI and advanced analytics tools can already bring enormous value. Yuval Atsmon is a senior partner who leads the new McKinsey Center for Strategy Innovation, which studies ways new technologies can augment the timeless principles of strategy. In this episode of the Inside the Strategy Room podcast, he explains how artificial intelligence is already transforming strategy and what’s on the horizon. This is an edited transcript of the discussion. For more conversations on the strategy issues that matter, follow the series on your preferred podcast platform .

Joanna Pachner: What does artificial intelligence mean in the context of strategy?

Yuval Atsmon: When people talk about artificial intelligence, they include everything to do with analytics, automation, and data analysis. Marvin Minsky, the pioneer of artificial intelligence research in the 1960s, talked about AI as a “suitcase word”—a term into which you can stuff whatever you want—and that still seems to be the case. We are comfortable with that because we think companies should use all the capabilities of more traditional analysis while increasing automation in strategy that can free up management or analyst time and, gradually, introducing tools that can augment human thinking.

Joanna Pachner: AI has been embraced by many business functions, but strategy seems to be largely immune to its charms. Why do you think that is?

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Yuval Atsmon: You’re right about the limited adoption. Only 7 percent of respondents to our survey about the use of AI say they use it in strategy or even financial planning, whereas in areas like marketing, supply chain, and service operations, it’s 25 or 30 percent. One reason adoption is lagging is that strategy is one of the most integrative conceptual practices. When executives think about strategy automation, many are looking too far ahead—at AI capabilities that would decide, in place of the business leader, what the right strategy is. They are missing opportunities to use AI in the building blocks of strategy that could significantly improve outcomes.

I like to use the analogy to virtual assistants. Many of us use Alexa or Siri but very few people use these tools to do more than dictate a text message or shut off the lights. We don’t feel comfortable with the technology’s ability to understand the context in more sophisticated applications. AI in strategy is similar: it’s hard for AI to know everything an executive knows, but it can help executives with certain tasks.

When executives think about strategy automation, many are looking too far ahead—at AI deciding the right strategy. They are missing opportunities to use AI in the building blocks of strategy.

Joanna Pachner: What kind of tasks can AI help strategists execute today?

Yuval Atsmon: We talk about six stages of AI development. The earliest is simple analytics, which we refer to as descriptive intelligence. Companies use dashboards for competitive analysis or to study performance in different parts of the business that are automatically updated. Some have interactive capabilities for refinement and testing.

The second level is diagnostic intelligence, which is the ability to look backward at the business and understand root causes and drivers of performance. The level after that is predictive intelligence: being able to anticipate certain scenarios or options and the value of things in the future based on momentum from the past as well as signals picked in the market. Both diagnostics and prediction are areas that AI can greatly improve today. The tools can augment executives’ analysis and become areas where you develop capabilities. For example, on diagnostic intelligence, you can organize your portfolio into segments to understand granularly where performance is coming from and do it in a much more continuous way than analysts could. You can try 20 different ways in an hour versus deploying one hundred analysts to tackle the problem.

Predictive AI is both more difficult and more risky. Executives shouldn’t fully rely on predictive AI, but it provides another systematic viewpoint in the room. Because strategic decisions have significant consequences, a key consideration is to use AI transparently in the sense of understanding why it is making a certain prediction and what extrapolations it is making from which information. You can then assess if you trust the prediction or not. You can even use AI to track the evolution of the assumptions for that prediction.

Those are the levels available today. The next three levels will take time to develop. There are some early examples of AI advising actions for executives’ consideration that would be value-creating based on the analysis. From there, you go to delegating certain decision authority to AI, with constraints and supervision. Eventually, there is the point where fully autonomous AI analyzes and decides with no human interaction.

Because strategic decisions have significant consequences, you need to understand why AI is making a certain prediction and what extrapolations it’s making from which information.

Joanna Pachner: What kind of businesses or industries could gain the greatest benefits from embracing AI at its current level of sophistication?

Yuval Atsmon: Every business probably has some opportunity to use AI more than it does today. The first thing to look at is the availability of data. Do you have performance data that can be organized in a systematic way? Companies that have deep data on their portfolios down to business line, SKU, inventory, and raw ingredients have the biggest opportunities to use machines to gain granular insights that humans could not.

Companies whose strategies rely on a few big decisions with limited data would get less from AI. Likewise, those facing a lot of volatility and vulnerability to external events would benefit less than companies with controlled and systematic portfolios, although they could deploy AI to better predict those external events and identify what they can and cannot control.

Third, the velocity of decisions matters. Most companies develop strategies every three to five years, which then become annual budgets. If you think about strategy in that way, the role of AI is relatively limited other than potentially accelerating analyses that are inputs into the strategy. However, some companies regularly revisit big decisions they made based on assumptions about the world that may have since changed, affecting the projected ROI of initiatives. Such shifts would affect how you deploy talent and executive time, how you spend money and focus sales efforts, and AI can be valuable in guiding that. The value of AI is even bigger when you can make decisions close to the time of deploying resources, because AI can signal that your previous assumptions have changed from when you made your plan.

Joanna Pachner: Can you provide any examples of companies employing AI to address specific strategic challenges?

Yuval Atsmon: Some of the most innovative users of AI, not coincidentally, are AI- and digital-native companies. Some of these companies have seen massive benefits from AI and have increased its usage in other areas of the business. One mobility player adjusts its financial planning based on pricing patterns it observes in the market. Its business has relatively high flexibility to demand but less so to supply, so the company uses AI to continuously signal back when pricing dynamics are trending in a way that would affect profitability or where demand is rising. This allows the company to quickly react to create more capacity because its profitability is highly sensitive to keeping demand and supply in equilibrium.

Joanna Pachner: Given how quickly things change today, doesn’t AI seem to be more a tactical than a strategic tool, providing time-sensitive input on isolated elements of strategy?

Yuval Atsmon: It’s interesting that you make the distinction between strategic and tactical. Of course, every decision can be broken down into smaller ones, and where AI can be affordably used in strategy today is for building blocks of the strategy. It might feel tactical, but it can make a massive difference. One of the world’s leading investment firms, for example, has started to use AI to scan for certain patterns rather than scanning individual companies directly. AI looks for consumer mobile usage that suggests a company’s technology is catching on quickly, giving the firm an opportunity to invest in that company before others do. That created a significant strategic edge for them, even though the tool itself may be relatively tactical.

Joanna Pachner: McKinsey has written a lot about cognitive biases  and social dynamics that can skew decision making. Can AI help with these challenges?

Yuval Atsmon: When we talk to executives about using AI in strategy development, the first reaction we get is, “Those are really big decisions; what if AI gets them wrong?” The first answer is that humans also get them wrong—a lot. [Amos] Tversky, [Daniel] Kahneman, and others have proven that some of those errors are systemic, observable, and predictable. The first thing AI can do is spot situations likely to give rise to biases. For example, imagine that AI is listening in on a strategy session where the CEO proposes something and everyone says “Aye” without debate and discussion. AI could inform the room, “We might have a sunflower bias here,” which could trigger more conversation and remind the CEO that it’s in their own interest to encourage some devil’s advocacy.

We also often see confirmation bias, where people focus their analysis on proving the wisdom of what they already want to do, as opposed to looking for a fact-based reality. Just having AI perform a default analysis that doesn’t aim to satisfy the boss is useful, and the team can then try to understand why that is different than the management hypothesis, triggering a much richer debate.

In terms of social dynamics, agency problems can create conflicts of interest. Every business unit [BU] leader thinks that their BU should get the most resources and will deliver the most value, or at least they feel they should advocate for their business. AI provides a neutral way based on systematic data to manage those debates. It’s also useful for executives with decision authority, since we all know that short-term pressures and the need to make the quarterly and annual numbers lead people to make different decisions on the 31st of December than they do on January 1st or October 1st. Like the story of Ulysses and the sirens, you can use AI to remind you that you wanted something different three months earlier. The CEO still decides; AI can just provide that extra nudge.

Joanna Pachner: It’s like you have Spock next to you, who is dispassionate and purely analytical.

Yuval Atsmon: That is not a bad analogy—for Star Trek fans anyway.

Joanna Pachner: Do you have a favorite application of AI in strategy?

Yuval Atsmon: I have worked a lot on resource allocation, and one of the challenges, which we call the hockey stick phenomenon, is that executives are always overly optimistic about what will happen. They know that resource allocation will inevitably be defined by what you believe about the future, not necessarily by past performance. AI can provide an objective prediction of performance starting from a default momentum case: based on everything that happened in the past and some indicators about the future, what is the forecast of performance if we do nothing? This is before we say, “But I will hire these people and develop this new product and improve my marketing”— things that every executive thinks will help them overdeliver relative to the past. The neutral momentum case, which AI can calculate in a cold, Spock-like manner, can change the dynamics of the resource allocation discussion. It’s a form of predictive intelligence accessible today and while it’s not meant to be definitive, it provides a basis for better decisions.

Joanna Pachner: Do you see access to technology talent as one of the obstacles to the adoption of AI in strategy, especially at large companies?

Yuval Atsmon: I would make a distinction. If you mean machine-learning and data science talent or software engineers who build the digital tools, they are definitely not easy to get. However, companies can increasingly use platforms that provide access to AI tools and require less from individual companies. Also, this domain of strategy is exciting—it’s cutting-edge, so it’s probably easier to get technology talent for that than it might be for manufacturing work.

The bigger challenge, ironically, is finding strategists or people with business expertise to contribute to the effort. You will not solve strategy problems with AI without the involvement of people who understand the customer experience and what you are trying to achieve. Those who know best, like senior executives, don’t have time to be product managers for the AI team. An even bigger constraint is that, in some cases, you are asking people to get involved in an initiative that may make their jobs less important. There could be plenty of opportunities for incorpo­rating AI into existing jobs, but it’s something companies need to reflect on. The best approach may be to create a digital factory where a different team tests and builds AI applications, with oversight from senior stakeholders.

The big challenge is finding strategists to contribute to the AI effort. You are asking people to get involved in an initiative that may make their jobs less important.

Joanna Pachner: Do you think this worry about job security and the potential that AI will automate strategy is realistic?

Yuval Atsmon: The question of whether AI will replace human judgment and put humanity out of its job is a big one that I would leave for other experts.

The pertinent question is shorter-term automation. Because of its complexity, strategy would be one of the later domains to be affected by automation, but we are seeing it in many other domains. However, the trend for more than two hundred years has been that automation creates new jobs, although ones requiring different skills. That doesn’t take away the fear some people have of a machine exposing their mistakes or doing their job better than they do it.

Joanna Pachner: We recently published an article about strategic courage in an age of volatility  that talked about three types of edge business leaders need to develop. One of them is an edge in insights. Do you think AI has a role to play in furnishing a proprietary insight edge?

Yuval Atsmon: One of the challenges most strategists face is the overwhelming complexity of the world we operate in—the number of unknowns, the information overload. At one level, it may seem that AI will provide another layer of complexity. In reality, it can be a sharp knife that cuts through some of the clutter. The question to ask is, Can AI simplify my life by giving me sharper, more timely insights more easily?

Joanna Pachner: You have been working in strategy for a long time. What sparked your interest in exploring this intersection of strategy and new technology?

Yuval Atsmon: I have always been intrigued by things at the boundaries of what seems possible. Science fiction writer Arthur C. Clarke’s second law is that to discover the limits of the possible, you have to venture a little past them into the impossible, and I find that particularly alluring in this arena.

AI in strategy is in very nascent stages but could be very consequential for companies and for the profession. For a top executive, strategic decisions are the biggest way to influence the business, other than maybe building the top team, and it is amazing how little technology is leveraged in that process today. It’s conceivable that competitive advantage will increasingly rest in having executives who know how to apply AI well. In some domains, like investment, that is already happening, and the difference in returns can be staggering. I find helping companies be part of that evolution very exciting.

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Strategic courage in an age of volatility

Bias Busters Collection

Published: 5 April 2024 Contributors: Tim Mucci, Cole Stryker

Big data analytics refers to the systematic processing and analysis of large amounts of data and complex data sets, known as big data, to extract valuable insights. Big data analytics allows for the uncovering of trends, patterns and correlations in large amounts of raw data to help analysts make data-informed decisions. This process allows organizations to leverage the exponentially growing data generated from diverse sources, including internet-of-things (IoT) sensors, social media, financial transactions and smart devices to derive actionable intelligence through advanced analytic techniques.

In the early 2000s, advances in software and hardware capabilities made it possible for organizations to collect and handle large amounts of unstructured data. With this explosion of useful data, open-source communities developed big data frameworks to store and process this data. These frameworks are used for distributed storage and processing of large data sets across a network of computers. Along with additional tools and libraries, big data frameworks can be used for:

• Predictive modeling by incorporating artificial intelligence (AI) and statistical algorithms
• Statistical analysis for in-depth data exploration and to uncover hidden patterns
• What-if analysis to simulate different scenarios and explore potential outcomes
• Processing diverse data sets, including structured, semi-structured and unstructured data from various sources.

Four main data analysis methods  – descriptive, diagnostic, predictive and prescriptive  – are used to uncover insights and patterns within an organization's data. These methods facilitate a deeper understanding of market trends, customer preferences and other important business metrics.

IBM named a Leader in the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.

Structured vs unstructured data

What is data management?

The main difference between big data analytics and traditional data analytics is the type of data handled and the tools used to analyze it. Traditional analytics deals with structured data, typically stored in relational databases . This type of database helps ensure that data is well-organized and easy for a computer to understand. Traditional data analytics relies on statistical methods and tools like structured query language (SQL) for querying databases.

Big data analytics involves massive amounts of data in various formats, including structured, semi-structured and unstructured data. The complexity of this data requires more sophisticated analysis techniques. Big data analytics employs advanced techniques like machine learning and data mining to extract information from complex data sets. It often requires distributed processing systems like Hadoop to manage the sheer volume of data.

These are the four methods of data analysis at work within big data:

The "what happened" stage of data analysis. Here, the focus is on summarizing and describing past data to understand its basic characteristics.

The “why it happened” stage. By delving deep into the data, diagnostic analysis identifies the root patterns and trends observed in descriptive analytics.

The “what will happen” stage. It uses historical data, statistical modeling and machine learning to forecast trends.

Describes the “what to do” stage, which goes beyond prediction to provide recommendations for optimizing future actions based on insights derived from all previous.

The following dimensions highlight the core challenges and opportunities inherent in big data analytics.

The sheer volume of data generated today, from social media feeds, IoT devices, transaction records and more, presents a significant challenge. Traditional data storage and processing solutions are often inadequate to handle this scale efficiently. Big data technologies and cloud-based storage solutions enable organizations to store and manage these vast data sets cost-effectively, protecting valuable data from being discarded due to storage limitations.

Data is being produced at unprecedented speeds, from real-time social media updates to high-frequency stock trading records. The velocity at which data flows into organizations requires robust processing capabilities to capture, process and deliver accurate analysis in near real-time. Stream processing frameworks and in-memory data processing are designed to handle these rapid data streams and balance supply with demand.

Today's data comes in many formats, from structured to numeric data in traditional databases to unstructured text, video and images from diverse sources like social media and video surveillance. This variety demans flexible data management systems to handle and integrate disparate data types for comprehensive analysis. NoSQL databases , data lakes and schema -on-read technologies provide the necessary flexibility to accommodate the diverse nature of big data.

Data reliability and accuracy are critical, as decisions based on inaccurate or incomplete data can lead to negative outcomes. Veracity refers to the data's trustworthiness, encompassing data quality, noise and anomaly detection issues. Techniques and tools for data cleaning, validation and verification are integral to ensuring the integrity of big data, enabling organizations to make better decisions based on reliable information.

Big data analytics aims to extract actionable insights that offer tangible value. This involves turning vast data sets into meaningful information that can inform strategic decisions, uncover new opportunities and drive innovation. Advanced analytics, machine learning and AI are key to unlocking the value contained within big data, transforming raw data into strategic assets.

Data professionals, analysts, scientists and statisticians prepare and process data in a data lakehouse, which combines the performance of a data lakehouse with the flexibility of a data lake to clean data and ensure its quality. The process of turning raw data into valuable insights encompasses several key stages:

• Collect data: The first step involves gathering data, which can be a mix of structured and unstructured forms from myriad sources like cloud, mobile applications and IoT sensors. This step is where organizations adapt their data collection strategies and integrate data from varied sources into central repositories like a data lake, which can automatically assign metadata for better manageability and accessibility.
• Process data: After being collected, data must be systematically organized, extracted, transformed and then loaded into a storage system to ensure accurate analytical outcomes. Processing involves converting raw data into a format that is usable for analysis, which might involve aggregating data from different sources, converting data types or organizing data into structure formats. Given the exponential growth of available data, this stage can be challenging. Processing strategies may vary between batch processing, which handles large data volumes over extended periods and stream processing, which deals with smaller real-time data batches.
• Clean data: Regardless of size, data must be cleaned to ensure quality and relevance. Cleaning data involves formatting it correctly, removing duplicates and eliminating irrelevant entries. Clean data prevents the corruption of output and safeguard’s reliability and accuracy.
• Analyze data: Advanced analytics, such as data mining, predictive analytics, machine learning and deep learning, are employed to sift through the processed and cleaned data. These methods allow users to discover patterns, relationships and trends within the data, providing a solid foundation for informed decision-making.

Under the Analyze umbrella, there are potentially many technologies at work, including data mining, which is used to identify patterns and relationships within large data sets; predictive analytics, which forecasts future trends and opportunities; and deep learning , which mimics human learning patterns to uncover more abstract ideas.

Deep learning uses an artificial neural network with multiple layers to model complex patterns in data. Unlike traditional machine learning algorithms, deep learning learns from images, sound and text without manual help. For big data analytics, this powerful capability means the volume and complexity of data is not an issue.

Natural language processing (NLP) models allow machines to understand, interpret and generate human language. Within big data analytics, NLP extracts insights from massive unstructured text data generated across an organization and beyond.

Structured Data

Structured data refers to highly organized information that is easily searchable and typically stored in relational databases or spreadsheets. It adheres to a rigid schema, meaning each data element is clearly defined and accessible in a fixed field within a record or file. Examples of structured data include:

• Customer names and addresses in a customer relationship management (CRM) system
• Transactional data in financial records, such as sales figures and account balances
• Employee data in human resources databases, including job titles and salaries

Structured data's main advantage is its simplicity for entry, search and analysis, often using straightforward database queries like SQL. However, the rapidly expanding universe of big data means that structured data represents a relatively small portion of the total data available to organizations.

Unstructured Data

Unstructured data lacks a pre-defined data model, making it more difficult to collect, process and analyze. It comprises the majority of data generated today, and includes formats such as:

• Textual content from documents, emails and social media posts
• Multimedia content, including images, audio files and videos
• Data from IoT devices, which can include a mix of sensor data, log files and time-series data

The primary challenge with unstructured data is its complexity and lack of uniformity, requiring more sophisticated methods for indexing, searching and analyzing. NLP, machine learning and advanced analytics platforms are often employed to extract meaningful insights from unstructured data.

Semi-structured data

Semi-structured data occupies the middle ground between structured and unstructured data. While it does not reside in a relational database, it contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data. Examples include:

• JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) files, which are commonly used for web data interchange
• Email, where the data has a standardized format (e.g., headers, subject, body) but the content within each section is unstructured
• NoSQL databases, can store and manage semi-structured data more efficiently than traditional relational databases

Semi-structured data is more flexible than structured data but easier to analyze than unstructured data, providing a balance that is particularly useful in web applications and data integration tasks.

Ensuring data quality and integrity, integrating disparate data sources, protecting data privacy and security and finding the right talent to analyze and interpret data can present challenges to organizations looking to leverage their extensive data volumes. What follows are the benefits organizations can realize once they see success with big data analytics:

Real-time intelligence

One of the standout advantages of big data analytics is the capacity to provide real-time intelligence. Organizations can analyze vast amounts of data as it is generated from myriad sources and in various formats. Real-time insight allows businesses to make quick decisions, respond to market changes instantaneously and identify and act on opportunities as they arise.

Better-informed decisions

With big data analytics, organizations can uncover previously hidden trends, patterns and correlations. A deeper understanding equips leaders and decision-makers with the information needed to strategize effectively, enhancing business decision-making in supply chain management, e-commerce, operations and overall strategic direction.  

Cost savings

Big data analytics drives cost savings by identifying business process efficiencies and optimizations. Organizations can pinpoint wasteful expenditures by analyzing large datasets, streamlining operations and enhancing productivity. Moreover, predictive analytics can forecast future trends, allowing companies to allocate resources more efficiently and avoid costly missteps.

Better customer engagement

Understanding customer needs, behaviors and sentiments is crucial for successful engagement and big data analytics provides the tools to achieve this understanding. Companies gain insights into consumer preferences and tailor their marketing strategies by analyzing customer data.

Optimized risk management strategies

Big data analytics enhances an organization's ability to manage risk by providing the tools to identify, assess and address threats in real time. Predictive analytics can foresee potential dangers before they materialize, allowing companies to devise preemptive strategies.

As organizations across industries seek to leverage data to drive decision-making, improve operational efficiencies and enhance customer experiences, the demand for skilled professionals in big data analytics has surged. Here are some prominent career paths that utilize big data analytics:

Data scientist

Data scientists analyze complex digital data to assist businesses in making decisions. Using their data science training and advanced analytics technologies, including machine learning and predictive modeling, they uncover hidden insights in data.

Data analyst

Data analysts turn data into information and information into insights. They use statistical techniques to analyze and extract meaningful trends from data sets, often to inform business strategy and decisions.

Data engineer

Data engineers prepare, process and manage big data infrastructure and tools. They also develop, maintain, test and evaluate data solutions within organizations, often working with massive datasets to assist in analytics projects.

Machine learning engineer

Machine learning engineers focus on designing and implementing machine learning applications. They develop sophisticated algorithms that learn from and make predictions on data.

Business intelligence analyst

Business intelligence (BI) analysts help businesses make data-driven decisions by analyzing data to produce actionable insights. They often use BI tools to convert data into easy-to-understand reports and visualizations for business stakeholders.

Data visualization specialist

These specialists focus on the visual representation of data. They create data visualizations that help end users understand the significance of data by placing it in a visual context.

Data architect

Data architects design, create, deploy and manage an organization's data architecture. They define how data is stored, consumed, integrated and managed by different data entities and IT systems.

IBM and Cloudera have partnered to create an industry-leading, enterprise-grade big data framework distribution plus a variety of cloud services and products — all designed to achieve faster analytics at scale.

IBM Db2 Database on IBM Cloud Pak for Data combines a proven, AI-infused, enterprise-ready data management system with an integrated data and AI platform built on the security-rich, scalable Red Hat OpenShift foundation.

IBM Big Replicate is an enterprise-class data replication software platform that keeps data consistent in a distributed environment, on-premises and in the hybrid cloud, including SQL and NoSQL databases.

A data warehouse is a system that aggregates data from different sources into a single, central, consistent data store to support data analysis, data mining, artificial intelligence and machine learning.

Business intelligence gives organizations the ability to get answers they can understand. Instead of using best guesses, they can base decisions on what their business data is telling them — whether it relates to production, supply chain, customers or market trends.

Cloud computing is the on-demand access of physical or virtual servers, data storage, networking capabilities, application development tools, software, AI analytic tools and more—over the internet with pay-per-use pricing. The cloud computing model offers customers flexibility and scalability compared to traditional infrastructure.

Purpose-built data-driven architecture helps support business intelligence across the organization. IBM analytics solutions allow organizations to simplify raw data access, provide end-to-end data management and empower business users with AI-driven self-service analytics to predict outcomes.

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Artificial intelligence

Organizational change management – the missing link in intelligent automation

New ways of working and embedding change drives AI and automation success

If you have ever been asked one of the following questions, this short paper is the perfect read:

• Will robots take my job?
• Can a robot go rogue and change data in the system?
• Why this chatbot does not understand me?
• Does AI make mistakes?
• How you will ensure compliance with business policies?
• What is your approach to ensure that people will use self-service instead of asking someone else by email?
• How will you ensure a return on investment (ROI)?

According to Prosci, the business consultancy, organizational change management (OCM) comprises “the process, tools and techniques to manage the people side of change to achieve a required business outcome.” Despite this impressive definition, OCM does not get the critical recognition it deserves as a driver of value. In fact, in many organizations it is often confused with internal employee communication.

Little wonder, then, that projects continue to fail to achieve the adoption levels that are essential to meeting targets for return on investment (ROI).

What is OCM?

In its very essence, OCM is about encouraging and enabling people to use the tools in which the organization has invested, so as to achieve true business value, and a return on that investment.

Here’s an example. An organization requested an investigation why its HR Virtual Assistant had very low usage across the business. The IT and HR teams had invested a significant amount of money, time and resources to build the solution, which was meant to reduce the processing time for each employee from almost 30 minutes of HR service desk calls to five minutes with a virtual assistant – something that seemed like a big win-win for everyone.

We investigated the solution from a technical perspective – logs, code, solution design, use experience – and could not find many major points that were missing. The virtual assistant had a funny and helpful persona, leading through the process in an organized manner, and the technical testing and logs suggested it was working as intended.

However, we found one aspect that had been forgotten by the organization’s technology-focused teams. The only place where the virtual assistant was mentioned to employees was a small-print reference in a booklet of over 300 pages that is given to each new recruit. As a result, they were spending time locating the right service team, booking a slot with an agent, and then going through everything on a long call. The result? A waste of time for them, an unnecessary use of service resources, and an inability to achieve the expected return on investment.

How does OCM help?

OCM is able to help meet innovation and transformation objectives by focusing on critical aspects of the people side of change, instead of facilitating communication and training alone. Those aspects may include the creation of the change vision , which comprises making a practical case for change, effective stakeholder management, transformation scaling, and an approach to roll-out that reinforces positive change. Part of this vision addresses the WIIFM – the employee’s “ What’s In It for Me?” – and is the beginning of achieving buy-in, continuous use, and ROI. It’s the most often overlooked component of many change management projects.

How change is embedded across many silos in an organization is very important. In the context of artificial intelligence (AI), it’s less about introducing new tools and software, and more about changing the way everyone thinks, operates and does business. Mere excitement for the new technology will not win people over. Automation anxiety (the fear that machines will soon replace people and take their jobs away from them) might distract them from the benefits that change can bring to them, and how it’s impacting clients.

Organizations need to make sure they frame and sell AI as an evolution of something that employees are doing already, not merely as “just the next logical step”, but as a reinvention of the whole process. Instead of throwing out what’s familiar to people, employers should reassure them that the new technology adds to their existing capabilities, and that it allows them to fulfill their true potential – which is something that is not automatable.

Barriers to the adoption of intelligent automation

Intelligent process automation (IPA) can be defined as a combination of robotic process automation (RPA), artificial intelligence (AI), and analytics. These are often seen as very complex technologies that might threaten work stability for employees who are currently executing the same processes manually. Resistance to change is therefore not surprising.

Capgemini has conducted a detailed analysis of the typical implementation paths and challenges of intelligent automation adoption across many industries and business processes. What we have found in our “Reshaping the Future: Unlocking Automation’s Untapped Value” report is that only a minority of organizations (16%) are deploying multiple automation use cases at scale , by which we mean implementation that goes beyond pilot and test projects. The most common challenges in IPA that organizations face are.

OCM can help to remove many of these barriers by effectively addressing the people side of change.

OCM outcomes

Successfully deployed OCM empowers employees across organizations to improve and refine the new solution continually – which can stimulate revenue growth and secure ROI. People need to be both aware of how the new solution is changing their work and that they are active in driving it – and, thanks to that, they are actively making the organization a powerhouse for continuous innovation.

Moreover, OCM can reduce tool or software implementation complexity by effectively identifying, engaging and managing stakeholders and their needs. Each stakeholder or stakeholder group will likely find itself in a different place when it comes to perspective, concerns and willingness to accept new ways of working. It is often the skills with which organizations communicate, persuade and involve these people that will determine the success of the AI project. If the stakeholders don’t get it, they won’t buy into it, and it’s then very likely the project will fail, and its ROI will not be realized.

Case studies in context

Generally speaking, the “software robots” of robotic process automation (RPA) can run in fully unattended mode, and are never seen by employees. But there is a growing trend to introduce RPA as a hybrid model, where the robot is working hand-in-hand with its human counterpart. The hybrid model allows employees to focus on what’s most important for the business, while the robotic solution handles data processing and system automation. This new model of fulfilling business processes requires a new approach to adoption, training and managing the workforce.

Another major trend is to use RPA in self-service solutions, where chatbots or virtual assistants act as the front end of a process, and RPA is working in the background, automating many legacy systems and data sources. Such an approach enables user requests to be fulfilled without any manual work. Everything is done in real time, and the solution is always available and fully automated, even with disjointed legacy systems.

We see these trends at work in the case of a major transportation client of ours, which has introduced virtual workers working hand-in-hand with human counterparts fulfilling the accounts payable  process. Robots were made responsible for intelligent document processing (extraction of data from unstructured documents) and automating all relevant systems, while people manage decisions and business communication. As much as 90% of the entire work was automated, while at many points within the process flow there is continuous communication between robots and humans. As a result, OCM was required to ensure people would stop conducting the manual processing themselves and allow robots to handle it instead, trusting the solution and thereby growing the business.

For a major business services client, we have deployed an AI-based solution to categorize incoming queries and automate the extraction of key details from multiple systems. Such an advanced solution, utilizing state of the art AI and machine learning approaches would usually create distrust among process owners and employees. However, in this case, introducing OCM early on enabled our client to increase employee participation in developing the necessary training. Using gamification made the process more accessible, resulting in a greater sense of team ownership, a positive impact on the AI solution’s performance, and the emergence of new ideas for improvement and further development.

Another organization has felt the benefit of combining OCM with IPA within its cash collections function . The approach involved combining RPA, AI, and analytics into a single cash collection assistant solution that dynamically generates a human-like voice and that automatically makes collection calls in 24 languages, with local accent variants. This effectively automates the first-call part of the cash collection process. By using state-of-the-art AI capabilities for natural language processing (NLP) and business process automation, this solution enables the whole cash collections process to be reimagined. In this project, OCM had to be extended even beyond the organization itself, and out to accommodate external stakeholders and their own culture of work.

Critical success factors for OCM

Effective OCM will help organizations achieve adoption levels that are essential to meeting ROI targets on digital transformation programs that include IPA. It achieves this, first, by factoring in all the areas and people in the organization that will be affected by the project, directly and indirectly; and second, by taking steps to minimize any negative impacts of the change.

In order to make sure that the new automation solutions will be implemented successfully across the organization and that employees will actually use them, companies should follow change management best practice and tailor their approach to the unique challenges presented by technology, corporate culture and external uncertainty. The following examples of best practice in OCM can help to achieve the best possible benefits of an AI and IPA strategy by addressing the “people” side of change – all while making a significant difference to the bottom line:

• Integrated OCM – OCM will be most effective when integrated with project management, and when it is included right from the planning/defining phase
• Active and visible sponsorship – organizations should provide executive leadership and change sponsorship in creating new but safe environment for employees to get used to new tools and learn different practices. Throughout the project, leaders should make it a top priority to demonstrate their commitment to the transformation process, to reward risk-taking, and to incorporate new behaviors into the day-to-day operations of the organization
• A tailored case for change – businesses should make the new solution desirable and relevant for their employees by presenting the big picture, outlining the organization’s goals, and illustrating how the solution will help achieve them. In other words, for each stakeholder group, the case for change needs to be given, and the “What’s in it for me?” question needs to be answered. Wherever possible, it’s best to use overwhelming evidence, including real data, compelling stories, and a clear vision.

Sustaining new ways of working drives success

The transformation of work is enabled by technology, but it relies on people not just changing, but wanting to change.

That’s why OCM plays such a critical role in ensuring that the return on investment of any major AI project will be realized. After all, technology might be considered as the easy part. It can be counted on to do as it was designed.

Conversely, the success of the project depends on how well organizations have managed to change people’s behavior, and whether the new ways of working are sustained and delivering business results over time

About the author

Marek Sowa helps clients to transform their business operations leveraging the combined power of AI and RPA to create working solutions that deliver real business value.

Patrycja Mulder is a former change manager at Capgemini, currently leading organizations through successful digital transformations and GBS transitions.

Contact Business Services

To learn how organizational change management can drive AI and automation success for your organization, contact: [email protected]

To learn more, contact Capgemini’s Business Services at:  [email protected]

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